{"schemaVersion":"jobsearcher.job.v1","id":"b3df0741dc0666df839a7b6c","url":"https://jobsearcher.com/jobs/b3df0741dc0666df839a7b6c","canonicalUrl":"https://jobsearcher.com/jobs/b3df0741dc0666df839a7b6c","title":"Machine Learning Engineer, Driver Refinement & Validation, Perception","description":"Waymo Driver Refinement & Validation EngineerWaymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.The Driver Refinement & Validation (DRV) organization's goal is to improve the Waymo Driver's performance by owning the end-to-end driving behavior for various onroad problems clusters. We work with upstream and downstream teams on developing the ML models and integrating them into the Waymo Driver. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.In this hybrid role, you will report to a Technical Lead Manager.You will:Own tasks in the ML Driver, take responsibility for task performance, create ML methods and recipes to scale and improve tasksAnalyze behavior of ML systems in real-world application, identify issues and root causes, advise or develop short- and long-term solutionsDevelop methods and recipes for distributed fine-tuning enabling multiple developers to simultaneously improve the model, develop methods and recipes to avoid regression against a production systemMonitor ML systems in production, develop methods for automatically detecting issues or regressions, develop AI-aided analysis and debugging toolingDevelop and maintain model evaluation recipes and metrics for measuring and improving performance of pre-trained and fine-tuned modelsYou have:Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience3+ years experience in Machine Learning and/or Computer VisionExperience with Python or C++Experience with ML frameworks like PyTorch or JAXWe prefer:MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar disciplinePublications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMIWaymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range $175,000—$215,000 USD","company":"Capitalg","rawCompany":"capitalg","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-11-07T15:53:44.135Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer, Driver Refinement & Validation, Perception","description":"Waymo Driver Refinement & Validation EngineerWaymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.The Driver Refinement & Validation (DRV) organization's goal is to improve the Waymo Driver's performance by owning the end-to-end driving behavior for various onroad problems clusters. We work with upstream and downstream teams on developing the ML models and integrating them into the Waymo Driver. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.In this hybrid role, you will report to a Technical Lead Manager.You will:Own tasks in the ML Driver, take responsibility for task performance, create ML methods and recipes to scale and improve tasksAnalyze behavior of ML systems in real-world application, identify issues and root causes, advise or develop short- and long-term solutionsDevelop methods and recipes for distributed fine-tuning enabling multiple developers to simultaneously improve the model, develop methods and recipes to avoid regression against a production systemMonitor ML systems in production, develop methods for automatically detecting issues or regressions, develop AI-aided analysis and debugging toolingDevelop and maintain model evaluation recipes and metrics for measuring and improving performance of pre-trained and fine-tuned modelsYou have:Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience3+ years experience in Machine Learning and/or Computer VisionExperience with Python or C++Experience with ML frameworks like PyTorch or JAXWe prefer:MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar disciplinePublications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMIWaymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range $175,000—$215,000 USD","datePosted":"2026-11-07T15:53:44.135Z","dateModified":"2026-11-07T15:53:44.135Z","hiringOrganization":{"@type":"Organization","name":"Capitalg","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b3df0741dc0666df839a7b6c"},"url":"https://jobsearcher.com/jobs/b3df0741dc0666df839a7b6c"}}