Staff Machine Learning Engineer: Search SidePrize LLCStaff Machine Learning Engineer: SearchAtlanta, GA$220,000–$280,000 / yearAs the leading platform for Daily Fantasy Sports we cover a diverse range of sports leagues including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 450 employees thrives in an inclusive culture that values individuals from diverse backgrounds regardless of their level of sports fandom.
Senior Machine Learning Engineer - Perception & Embodied AI General Motors CoSenior Machine Learning Engineer - Perception & Embodied AIMountain View, CA$170,600–$261,300 / yearRole As a Senior Machine Learning Engineer for Perception within the Embodied AI organization, you will own the end-to-end pipeline for safety-critical ML perception models, from initial research and large-scale data curation to optimization and real-time deployment on the vehicles compute platform. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Machine Learning Engineer, LLM Post-Training NewsBreakMachine Learning Engineer, LLM Post-TrainingMountain View, CA$150,000–$230,000 / yearDesign, build, and curate the data that drives each training stage - instruction/SFT datasets, preference pairs, reward signals, on-policy rollouts, and rejection-sampled completions - and define data-preparation strategies tailored to specific business needs. Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we''re proud to be Great Place to Work certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.
Machine Learning Engineer Intern PlusAI IncMachine Learning Engineer InternSanta Clara, CA$19–$65 / hourResponsibilities: Multi-Modal Feature Fusion: Develop a pipeline to ingest and synchronize disparate data streams, including raw camera frames and structured proto modules (Perception, Planning, Control). If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
Machine Learning Engineer V AvalaraMachine Learning Engineer VRemoteRemoteThe person in this role will turn emerging AI patterns into secure, reliable, production-grade systems that increase automation, improve customer outcomes, and enable Avalara teams to build agentic solutions faster and with higher quality. By improving the reliability, accuracy, security, and scalability of these systems, you will enable faster delivery of Aviator and other agentic efforts while reducing duplicated engineering effort across teams.
Founding Machine Learning Engineer ShepherdFounding Machine Learning EngineerSan Francisco, California4+ years of industry experience building and shipping ML systems end-to-end, from raw data to production models, including experience with model deployment platforms (e.g., AWS Sagemaker). Our AI performs the same underwriting workflows in seconds, and integrates real-time data from construction technology partners — Procore, Autodesk, OpenSpace, DroneDeploy, and others — to see risk as it actually exists, not just as it was reported on a static form.
Senior / Staff Machine Learning Engineer, Applied AI Lila SciencesSenior / Staff Machine Learning Engineer, Applied AISan Francisco, MassachusettsFull-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. You’ll work on improving Lila’s AI models for customer-specific scientific needs, with a focus on turning frontier model capabilities into reliable workflows that can be evaluated, iterated, and used in real customer contexts.
Machine Learning Engineer RADARMachine Learning EngineerSunnyvale, CA$195,000–$264,000 / yearWe are deployed across 1,400+ stores with retailers including American Eagle Outfitters and Old Navy, processing tens of billions of real-world events every day, delivering 99%+ accuracy in complex, noisy environments - at fleet scale. Build and scale ML infrastructure: Design and maintain scalable, reliable and efficient production pipelines for feature engineering, training, prediction and model serving using tools including Airflow, Big Query and Kubeflow.
Staff Machine Learning Engineer, Recommendation & AI Platform NewsBreakStaff Machine Learning Engineer, Recommendation & AI PlatformMountain View, CA$230,000–$300,000 / yearRecognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale. In this role, you will define technical direction for large-scale personalization systems , lead complex projects across teams, and drive the adoption of AI / LLM technologies in both product capabilities and engineering workflows.
Principal Machine Learning Engineer I LexisNexisPrincipal Machine Learning Engineer IRaleigh, North CarolinaOur company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent frameworks designed for complex large unstructured data.
Machine Learning Engineer - Agentic Retrieval ZoomMachine Learning Engineer - Agentic RetrievalSan Jose, CAWe operate at the intersection of distributed systems, machine learning, and large language models - powering search and answer generation across meetings, chat, docs, and third-party enterprise applications through a layered API architecture (keyword search, natural language search, and agentic RAG-based answer generation). You will design and build the core retrieval and reasoning systems that power Zoom's AI Companion - enabling AI agents to search, reason over, and act on enterprise knowledge to deliver high- quality, trustworthy, and actionable answers at scale.
NewMachine Learning Engineer ZoomMachine Learning EngineerSeattle, WAWe set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.
Machine Learning Engineer, Intelligent Sensing Technology - Incubation Apple IncMachine Learning Engineer, Intelligent Sensing Technology - IncubationCupertino, CAPyTorch), with a practical approach to tooling that includes AI-assisted development as a natural part of the workflow Proven experience building end-to-end ML pipelines, from data acquisition and preprocessing through training, evaluation, and deployment Experience architecting and integrating sensing systems that fuse multimodal signals (e.g. BS and a minimum of 3 years relevant industry experience in machine learning or AI engineering Familiarity with state-of-the-art architectures including transformers, reinforcement learning, and predictive inference Strong coding skills across modern ML frameworks (e.g.
Senior Machine Learning Engineer Roku IncSenior Machine Learning EngineerSan Jose, CA$229,500–$367,100 / yearSenior Device Sales Marketing Manager Santa Monica, California Senior Software Engineer - Java Embassy Golf Links Business Park, Domlur, Bengaluru, Karnataka Senior Device Sales Marketing Manager New York Senior Product Manager, Content Discovery Innovation San Jose, California Programmatic Analyst, Inventory Enablement & Optimization New York Lead Analyst, Ad Forecasting & Inventory Yield New York Solutions Engineer, Platform Experiences Santa Monica, California Staff Software Engineer, Demand Bidder, Ad Serving Platform San Jose, California. blocks--linked-image#click keydown.enter->blocks--linked-image#click" data-controller="" data-open-newtab="false" id="page_block_ddcbf6cd2b3fb01ca7c9279824ad0b15" style="background-image: linear-gradient(rgba(0, 0, 0, 0.0),rgba(0, 0, 0, 0.0)), url( https://d25wby5c7p9100.cloudfront.net/public/uploads/9dd4272d942760bfb0f16858b0a632e7/images/files/9fe8b0cc48a58cfb0c4d05137e277a7e/large/Purple_People.jpg?1632851332);background-position : 50% 50%" title="">.
NewSenior Machine Learning Engineer SelektITSenior Machine Learning EngineerTexas City, TexasYou will collaborate closely with data scientists and software engineers to ensure the accuracy, reliability, and efficiency of our machine learning solutions. We are looking for a Senior Machine Learning Engineer to design, develop, and maintain scalable machine learning models and systems .
LLM Machine Learning Engineer, Models and Agent Science, AIML Apple IncLLM Machine Learning Engineer, Models and Agent Science, AIMLCupertino, CASuccessful candidates will bring a strong software engineering background, hands-on zero-to-one machine learning development experience, and broad expertise in post-training machine learning models (including quality and performance optimization).Proven ability to define goals and deliver results amid uncertainty and real-world constraints in AI product development Ability to read, evaluate, and reproduce recent research and assess its practical viability under real-world constraints Experience optimizing or post-training large language models (LLMs), developing interpretability or stress-testing algorithms, steering model behavior, or building agent harnesses Strong Python and UNIX skills and a demonstrated ability to use agentic coding tools in these environments History of applied research in neural network optimization, model training, or a related area Proven track record of driving scientific investigations and experiments while overcoming obstacles and uncertainty in a research environment BS and 5+ years of experience, MS and 3+ years of experience, or PhD and 1+ year of experiencePhD in a related field Publication record at top AI/ML venues Experience with post-training LLMs and network optimization algorithms, as well as interpretability or steering techniques for LLMs Experience of working with large-scale compute infrastructure Experience shipping a real world product, project or feature Experimental rigor and ablation design when benchmarking LLM optimizations Strong communication and accountability skills, with a collaborative mindset and strong work ethic. You will join a collaborative team of software developers and deep learning experts focused on large language modeling, optimization, interpretability, and related algorithms.
Senior Python / Machine Learning Engineer - Ft Lauderdale FormativGroupSenior Python / Machine Learning Engineer - Ft LauderdaleFort Lauderdale, FloridaThis role focuses on building and operationalizing machine learning models, supporting end-to-end data workflows, and integrating AI capabilities into broader application ecosystems. The role of the Senior Python Engineer is to design, develop, and deploy machine learning solutions that transform data into actionable insights, while ensuring scalability, performance, and integration into production systems.
Senior Machine Learning Engineer VideaHealth IncSenior Machine Learning EngineerBoston, MAVidea is supported by some of the best investors in the world, having raised over $67M in Venture Capital from Tier 1 investors such as Spark Capital (Twitter, SnapChat, SmileDirectClub), Zetta Venture (Kaggle), and Pillar VC (PillPack), as well as angel investors such as Frederic Kerrest (Co-founder of Okta). Deep, demonstrable expertise in at least one area of ML engineering, such as predictive and tabular modeling, multimodal systems, training and inference infrastructure, or model evaluation and reliability, along with the breadth to contribute across the stack.
Senior Machine Learning Engineer Intuitive Surgical IncSenior Machine Learning EngineerSunnyvale, CACertain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government's licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan ("TCP") (note: typically adds 2 weeks to the hiring process). U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status.
Senior Machine Learning Engineer VideaHealthSenior Machine Learning EngineerBoston, MAVidea is supported by some of the best investors in the world, having raised over $67M in Venture Capital from Tier 1 investors such as Spark Capital (Twitter, SnapChat, SmileDirectClub), Zetta Venture (Kaggle), and Pillar VC (PillPack), as well as angel investors such as Frederic Kerrest (Co-founder of Okta). Deep, demonstrable expertise in at least one area of ML engineering, such as predictive and tabular modeling, multimodal systems, training and inference infrastructure, or model evaluation and reliability, along with the breadth to contribute across the stack.
Distributed Machine Learning Engineer Institute of Foundation ModelsDistributed Machine Learning EngineerSunnyvale, CaliforniaStrategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role The Distributed ML Engineer will play a role at the forefront of optimizing performance for the machine learning software stacks, especially at training and inference, and support the team to develop new and cutting-edge systems.
Machine Learning Engineer, Firefly Services ADOBE IncMachine Learning Engineer, Firefly ServicesSeattle, WA$161,700–$234,150 / yearAdobes industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobes first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers.
Machine Learning Engineer, Adobe Firefly Services ADOBE IncMachine Learning Engineer, Adobe Firefly ServicesSeattle, WA$183,300–$265,350 / yearAdobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe's first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers.
Machine Learning Engineer- Senior SOS International LLCMachine Learning Engineer- SeniorChantilly, VAExperience developing and applying advanced machine learning methods including clustering, regression, optimization, recommender engines, and artificial neural networks. In this job you will work with other talented data scientists, software developers, and SMEs to apply the best practices and state of the art data science and machine learning processes.
Senior Staff Machine Learning Engineer - Autonomous Driving Foundation Models XPeng Inc.Senior Staff Machine Learning Engineer - Autonomous Driving Foundation ModelsSanta Clara, CA$244,140–$413,160 / yearXPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. Key Responsibilities: Architectural Leadership: Lead the design of end-to-end VLA architectures, bridging multi-modal perception with high-level linguistic reasoning and precise action generation.
Distinguished Machine Learning Engineer, Customer Intelligence and Recommendation GEICO GENERAL INSURANCE COMPANYDistinguished Machine Learning Engineer, Customer Intelligence and RecommendationPalo Alto, CA$150,000–$300,000 / yearFactors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States.
Machine Learning Engineer Keysight Technologies IncMachine Learning EngineerColorado Springs, COPartner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases. Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross-sell/upsell opportunity identification.
Machine Learning Engineer 4 ADOBE IncMachine Learning Engineer 4San Jose, CA$183,300–$265,350 / yearAdobes industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Design and development of state-of-the-art agentic AI system and platform powered by generative AI, including working on engineering problems such as defining APIs, integrating with UIs, deploying Cloud services, CICD, etc., as well as implementing ML- and LLM-Ops best practices, delivering high quality, production ready code.
Machine Learning Engineer: Perception Analytics Bedrock RoboticsMachine Learning Engineer: Perception AnalyticsSan Francisco, CaliforniaBacked by $350M in funding, we’re working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage. Today, we’re deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites.
Principal Machine Learning Engineer AtlassianPrincipal Machine Learning EngineerMountain View, California$209,700–$273,775 / yearOverview: As a Principal Machine Learning Engineer, you will drive the development and implementation of cutting-edge machine learning algorithms, training sophisticated models, and collaborating with product, engineering, and analytics teams to build AI functionalities into Atlassian products and services. Your daily responsibilities will encompass a broad spectrum of tasks — designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers.
NewMachine Learning Engineer-Life Sciences Spark RecruitingMachine Learning Engineer-Life SciencesSan Francisco, CaliforniaProject delivery and implementation – own research delivery on high-stakes projects with customers and do whatever it takes to make delivery successful, including: problem and hypothesis definition, data sourcing, tool building, iteration, and implementation. You'll have the opportunity to join a vital mission at an important point in its trajectory — we are developing groundbreaking technology with a world-class team on the critical path to ensuring a safe and beneficial future for humanity.
Artificial Intelligence/Machine Learning Engineer 1 3Core SystemsArtificial Intelligence/Machine Learning Engineer 1Austin, TexasLocation: Austin, TX 78752 Hybrid - On Site (3/2) Only Local to Austin, TX Profile Will Be Considered. Developing technical controls, documentation, and processes required for AI governance adoption.
Senior/Staff Machine Learning Engineer, Planning PlusAISenior/Staff Machine Learning Engineer, PlanningSanta Clara, CA$130,000–$220,000 / yearWe’re looking for a machine learning engineer to train and deploy the latest generation of ML-based planning algorithms on the extensive data we collect every day across our autonomous trucking fleet. A rigorous approach to model development: running well-designed experiments, defining suitable training and validation datasets, and evaluating on the right metrics.
Machine Learning Engineer Iii, Search Relevance BoxMachine Learning Engineer Iii, Search RelevanceRedwood City, CA$175,500–$219,500 / yearYou'll collaborate with senior engineers, Product, Data, and Infra partners to productionize modern retrieval techniques and experimentation frameworks that directly impact how millions of users work. We're looking for a Machine Learning Engineer III to improve search quality end-to-end-signals, ranking, retrieval, and evaluation-while building scalable, low-latency services that serve queries in real time.
Staff Machine Learning Engineer Appgate CareersStaff Machine Learning EngineerNew York, New York$180,000–$220,000 / yearThis is a hands-on technical leadership role, shaping our fraud prevention roadmap and ensuring the platform evolves to meet emerging threat patterns through automation, data intelligence, and generative AI–enhanced detection models. You will architect large-scale ML systems that detect and prevent fraud in real time combining deep machine learning expertise with scalable engineering and domain knowledge in financial systems.
Machine Learning Engineer Strategic EmploymentMachine Learning EngineerChicago, ILThis is a hands-on individual contributor role where you would be building new ML pipelines and models, while also maintaining and improving what is already in production. After two years of running ML systems in production through an outside consulting firm, this organization is building the capability in-house.
Principal Machine Learning Engineer Appgate CareersPrincipal Machine Learning EngineerNew York, New YorkThis is a hands-on technical leadership role, shaping our fraud prevention roadmap and ensuring the platform evolves to meet emerging threat patterns through automation, data intelligence, and generative AI–enhanced detection models. You will architect large-scale ML systems that detect and prevent fraud in real time combining deep machine learning expertise with scalable engineering and domain knowledge in financial systems.
NewMachine Learning Engineer II - AI AdyenMachine Learning Engineer II - AIAmsterdam, NYYou will take full ownership of your work, from early research through deployed production systems, influence the team's technical direction, and act as a force multiplier for the broader AI organization, including contributing to custom model development for structured financial data, and working toward our longer-term ambition of defining how humans and AI collaborate at scale across the company. As a Machine Learning Engineer II - AI/ML, you will undertake some of the most technically demanding work in applied AI: designing agents that reason over complex, multi-step tasks, building the infrastructure to ensure production-grade reliability, and shaping how humans and AI collaborate at scale within a global payments company.
Machine Learning / Computer Vision Engineer EkaMachine Learning / Computer Vision EngineerCambridge, MassachusettsBuild computer vision and visual representation learning pipelines for robotic manipulation, including RGB, RGB-D, depth, segmentation, pose, keypoint, and object-centric representations. Improve our data pipeline for vision-based manipulation policies through domain randomization, photorealistic rendering, synthetic data generation, sensor noise modeling, and real-world fine-tuning.
Machine Learning Engineer - Llm, AI & Robotics XPeng Inc.Machine Learning Engineer - Llm, AI & RoboticsSanta Clara, CA$148,909–$252,000 / yearXPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
Data Scientist/Machine Learning Engineer (Req-253) CATHEXISData Scientist/Machine Learning Engineer (Req-253)Tysons, VA$120,000–$150,000 / yearThe Data Scientist/ML Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation. Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services.
Data Scientist/Machine Learning Engineer (Req-249) CATHEXISData Scientist/Machine Learning Engineer (Req-249)Tysons, VA$120,000–$150,000 / yearThe Data Scientist/ML Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation. Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services.
Senior Machine Learning Engineer - Credit Plaid IncSenior Machine Learning Engineer - CreditSeattle, WAWe're looking for machine learning engineers with experience applying state-of-the-art machine learning and modeling techniques, including natural language processing, anomaly detection, optimization, and time series forecasting, across different product areas. You'll lead experimentation with new modeling approaches and strategies, collaborate closely with engineers on ingesting signals and productionizing models, and help build the next wave of cash flow based underwriting.
Machine Learning Engineer (Hybrid- Greenfield Opportunity) Match Made TechMachine Learning Engineer (Hybrid- Greenfield Opportunity)Los Angeles, CaliforniaYou will work cross-functionally with data scientists, engineers, and product teams to bring cutting-edge AI solutions to production, with a strong focus on NLP, supervised learning, experimentation, and optimization. As we embark on an exciting new greenfield AI project, we are seeking an exceptional AI/ML Engineer to join our team and lead the development of machine learning models as part of this groundbreaking initiative.
Sr. Staff Machine Learning Engineer Zscaler IncSr. Staff Machine Learning EngineerSan Jose, CA$157,500–$225,000 / yearEvaluate and integrate state-of-the-art GenAI advances to deliver reliable and cost-efficient production features, utilizing LLMs, various machine learning models, data processing, fine-tuning, and inference optimization. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
Lead Machine Learning Engineer - Generative AI and Agent Platforms JPMorgan Chase & CoLead Machine Learning Engineer - Generative AI and Agent PlatformsJersey City, NJAs an Applied AI and Machine Learning Lead at JPMorganChase within Payments Technology, Data Analytics, Regulatory & Compliance (Data Analytics) in the Commercial & Investment Bank, you will build and operate unique Agentic operation system and runtime that allows engineering teams build and safely, reliably run their AI agents. You'll work across Corporate & Investment Bank sub-lines of business and Payments, using Platform's runtime, retrieval, and memory primitives plus platforms such as Databricks and the GenAI Gateway, and apply MLOps for automation, continuous delivery, and compliance with AI/ML control expectations.
Sr. Machine Learning Engineer, Cell Manufacturing Tesla IncSr. Machine Learning Engineer, Cell ManufacturingAustin, TXConduct in-depth statistical analysis and feature engineering on complex time-series sensors and process datasets while preventing issues like temporal or batch leakage. Benefits: Along with competitive pay as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Medical plans: Plan options with 0 payroll deduction.
Machine Learning Engineer, Customer Engineering AnyscaleMachine Learning Engineer, Customer EngineeringSan Francisco, CaliforniaThe Customer Engineer will play a crucial role in the customers’ post-sale journey - helping them to onboard, adopt and grow on Anyscale, troubleshooting and resolving open customer tickets and driving consumption. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.
Sr. Machine Learning Engineer FortraSr. Machine Learning EngineerSpain, GAThis position is responsible for developing, enhancing, and maintaining our Machine Learning pipelines and data science solutions including data pipelines, infrastructure, and deployment of machine learning models. If you're passionate about tackling meaningful challenges alongside talented team members committed to helping each other succeed, all while having lots of fun, we want to hear from you.
NewMachine Learning Engineer 5 - Ads Measurement Netflix IncMachine Learning Engineer 5 - Ads MeasurementLos Gatos, CA$466,000–$750,000 / yearThe team develops distributed data processing systems and ML-powered measurement solutions for products such as Brand Lift, Incrementality, Attribution, and Measurement Insights, enabling accurate, privacy-safe, and scientifically rigorous measurement of advertising effectiveness. Our team is new and yet faced with the enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content.