{"schemaVersion":"jobsearcher.job.v1","id":"0936d04437a287855b5f1ba9","url":"https://jobsearcher.com/jobs/0936d04437a287855b5f1ba9","canonicalUrl":"https://jobsearcher.com/jobs/0936d04437a287855b5f1ba9","title":"Staff Machine Learning Engineer, Driver Refinement & Validation","description":"Staff Machine Learning Engineer, Driver Refinement & ValidationWaymo 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.Driver Refinement and Validation's (DRV) mission is to build upon the high-quality ML Driver developed by Driver Intelligence, refining its performance to improve autonomous driving in specific, complex real-world contexts and problem areas (e.g., Ride-Hailing contexts). It aims to ensure that the Waymo Driver always computes safe, compliant, comfortable, and useful plans. As an Engineer in DRV, you will bridge the gap between cutting-edge machine learning and real-world vehicle performance, engineering the validation and onboard systems that ensure the autonomous vehicle reliably executes intelligent and predictable maneuvers.You will:Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo's businessFine-tune, adapt, and benchmark state-of-the-art generative models to improve autonomous vehicle perception, motion prediction, and trajectory planningWrite high-quality, scalable, and thoroughly tested code to bring cutting-edge ML into productionPartner with world-class engineers and product managers to deliver safe and smooth autonomous vehicle behaviorsYou have:MS in Computer Science, Machine Learning, Robotics, or related technical field, or equivalent practical experience8+ years of industry experience deploying, evaluating, and maintaining ML-based systems in real-world, production environmentsProficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilitiesExpertise with modern deep learning frameworks, such as JAX or PyTorchWe prefer:Experience in deep learning, reinforcement learning, and ML systemsDomain expertise in solving prediction, behaviors, motion planning, or related robotics problemsML post-training experiencePrior industry experience (e.g. internships) in applied ML or software developmentPublications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, ACL, or EMNLP)The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $251,000—$310,000 USD","company":"Latent Logic","rawCompany":"latent logic","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-11-09T01:14:00.130Z","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":"17-2141.02","title":"Automotive Engineers","slug":"automotive-engineers"}],"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":"336110","title":"Automobile and Light Duty Motor Vehicle Manufacturing","slug":"automobile-and-light-duty-motor-vehicle-manufacturing"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Machine Learning Engineer, Driver Refinement & Validation","description":"Staff Machine Learning Engineer, Driver Refinement & ValidationWaymo 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.Driver Refinement and Validation's (DRV) mission is to build upon the high-quality ML Driver developed by Driver Intelligence, refining its performance to improve autonomous driving in specific, complex real-world contexts and problem areas (e.g., Ride-Hailing contexts). It aims to ensure that the Waymo Driver always computes safe, compliant, comfortable, and useful plans. As an Engineer in DRV, you will bridge the gap between cutting-edge machine learning and real-world vehicle performance, engineering the validation and onboard systems that ensure the autonomous vehicle reliably executes intelligent and predictable maneuvers.You will:Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo's businessFine-tune, adapt, and benchmark state-of-the-art generative models to improve autonomous vehicle perception, motion prediction, and trajectory planningWrite high-quality, scalable, and thoroughly tested code to bring cutting-edge ML into productionPartner with world-class engineers and product managers to deliver safe and smooth autonomous vehicle behaviorsYou have:MS in Computer Science, Machine Learning, Robotics, or related technical field, or equivalent practical experience8+ years of industry experience deploying, evaluating, and maintaining ML-based systems in real-world, production environmentsProficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilitiesExpertise with modern deep learning frameworks, such as JAX or PyTorchWe prefer:Experience in deep learning, reinforcement learning, and ML systemsDomain expertise in solving prediction, behaviors, motion planning, or related robotics problemsML post-training experiencePrior industry experience (e.g. internships) in applied ML or software developmentPublications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, ACL, or EMNLP)The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $251,000—$310,000 USD","datePosted":"2026-11-09T01:14:00.130Z","dateModified":"2026-11-09T01:14:00.130Z","hiringOrganization":{"@type":"Organization","name":"Latent Logic","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0936d04437a287855b5f1ba9"},"url":"https://jobsearcher.com/jobs/0936d04437a287855b5f1ba9"}}