About the role
Machine Learning Engineer - Mapping - Mountain View, California, United States Why Waymo Why Waymo Why Waymo Subheadline goes here lorem ipsum --> Working at Waymo Working at Waymo Culture Benefits Belonging Community Engagement Locations Teams Teams Software Engineering Ops & Supply Chain AI Foundations Hardware Engineering Product & Design G & A Early Careers Early Careers Subheadline goes here lorem ipsum How we hire How we hire Subheadline goes here lorem ipsum Open roles Open roles Subheadline goes here lorem ipsum --> Early careers How we hire Open roles Visit Waymo.com My settings Why Waymo Working at Waymo Culture Benefits Belonging Community Engagement Locations Teams Software Engineering Ops & Supply Chain AI Foundations Hardware Engineering Product & Design G & A Early careers How we hire Open roles Visit Waymo.com My settings Kiosk mode Machine Learning Engineer - Mapping Mountain View, California, United States Full-Time Software Engineering 4068 Apply now Machine Learning Engineer - Mapping 4068 On Site Mountain View, California Software Engineering Full-Time Add to favorites View favorites Waymo 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 Waymo Mapping team's goal is to build a high resolution map of the world to support safe autonomous driving. We work on creating the map using a combination of automatic and manual techniques and build the infrastructure to store, process, and distribute the map. Our team collaborates with several other Waymo teams that consume map data. In this role, you will: Design, train, and deploy machine learning models to automate the creation of Waymo's HD maps, unlocking scale for the Waymo Driver. Apply and advance state-of-the-art ML techniques, including Vision-Language Models (VLMs) and other Generative AI approaches, to pioneer new solutions in mapping automation. Own the complete model development lifecycle, from data mining and processing to model training, evaluation, validation, and productionization. Collaborate closely with partner ML teams, such as Waymo Perception and Waymo AI Foundations, to adapt cutting-edge research into scalable, reliable, and production-grade solutions. You have: 4+ years of hands-on experience in Machine Learning, with a strong focus on computer vision and/or deep learning. Proficiency in at least one major deep learning framework (e.g., TensorFlow, PyTorch, JAX). Demonstrated experience owning problems end-to-end and working across various parts of the systems stack to deliver results. B.S. in Computer Science, a similar technical field, or equivalent practical experience. It's a Bonus if you have: M.S. or Ph.D. degree in Computer Science or a related discipline. Familiarity with foundation models and techniques for model adaptation (e.g., few-shot learning, transfer learning, domain adaptation). A track record of publications in top-tier ML/CV conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV). Experience with C++. Direct experience with mapping or GIS is a bonus but not required. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo 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 $204,000—$259,000 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate’s qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email [email protected]. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.) Tweet Share Quick Links How We Hire Our Benefits Related Job Openings Machine Learning Engineer Mountain View, California Machine Learning Engineer - Mapping Mountain View, California Machine Learning Engineer, Mapping Mountain View, California Machine Learning Engineer, Data & Systems Mountain View, California. San Francisco, California Some of our Benefits Health and wellness Our people are at the heart of everything we do. At Waymo, you can enjoy top-notch medical, dental and vision insurance, mental wellness support, gym membership, and special wellness programs. Financial wellness Your financial peace of mind is important to us. At Waymo, we offer competitive compensation, bonus opportunities, equity, employees provident fund, and lots of other perks and employee discounts. Flexibility and time off Take the time you need to relax and recharge. Enjoy the flexibility to work from another location for four weeks per year. We support an on-site or hybrid work model and offer remote working opportunities, paid time off, bereavement, sick, and parental leave. Supporting families When it comes to growing your family or caring for your loved ones, you have our full support. Enhanced leave options include 26 weeks of paid leave for birthing parents and 18 weeks of paid leave for non-birthing parents. Community and personal development At Waymo, you'll find a range of opportunities to grow, connect, and give back. We offer education reimbursement, personal and professional development, mentorship, and other ways to connect through Employee Resource Groups (ERGs), other internal groups, and even time off to volunteer. Cool perks Access to Google offices, cafes, wellness centers, massages, and so much more. To support your wellbeing at home, you can enjoy at-home fitness and cooking classes, and more. Previous Next Health and wellness Our people are at the heart of everything we do. At Waymo, you can enjoy top-notch medical, dental and vision insurance, mental wellness support, gym membership, and special wellness programs. Financial wellness Your financial peace of mind is important to us. At Waymo, we offer competitive compensation, bonus opportunities, equity, employees provident fund, and lots of other perks and employee discounts. Flexibility and time off Take the time you need to relax and recharge. Enjoy the flexibility to work from another location for four weeks per year. We support an on-site or hybrid work model and offer remote working opportunities, paid time off, bereavement, sick, and parental leave. Supporting families When it comes to growing your family or caring for your loved ones, you have our full support. Enhanced leave options include 26 weeks of paid leave for birthing parents and 18 weeks of paid leave for non-birthing parents. Community and personal development At Waymo, you'll find a range of opportunities to grow, connect, and give back. We offer education reimbursement, personal and professional development, mentorship, and other ways to connect through Employee Resource Groups (ERGs), other internal groups, and even time off to volunteer. Cool perks Access to Google offices, cafes, wellness centers, massages, and so much more. To support your wellbeing at home, you can enjoy at-home fitness and cooking classes, and more. Learn more Ready to Apply? Waymo.com Candidate Privacy Policy Privacy Policy Terms Zero Tolerance Safety Publications Contact Us Blog Research Legal First Responders Waymo Community Notice to CA Residents © 2019-2024 Waymo LLC Search jobs Candidate Details Cookies allow websites to make your Internet experience better. For example, when you set a default language on a website, cookies help the site remember your choice. You can block some or all cookies, but this can cause certain features to stop working. Note that any choice you make here will only affect this website on this browser and device. To learn more about how your data is shared, view our Candidate Privacy Policy page . Manage Consent Preferences Strictly Necessary Cookies These cookies are necessary for the website to function and cannot be switched off in our systems. 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