About the role
Senior Research Scientist, World Modeling - Mountain View, California, United States - San Francisco, 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 Senior Research Scientist, World Modeling Mountain View, California, United States. San Francisco, California, United States Full-Time AI Foundations 4717 Apply now Senior Research Scientist, World Modeling 4717 On Site Mountain View, California San Francisco, California AI Foundations 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 mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work schedule and reports to a Staff Research Scientist / Tech Lead Manager . You will: Design and implement generative world action modeling solutions to simulate future world states / observations and generate policies for embodied agents (autonomous vehicles). Develop and maintain scalable data pipelines to process data from multiple sources. Design and implement evaluation strategies for world action models. Study and analyze different behaviors of this model, such as scaling efficacy, downstream quality implications, model architecture design ablations, etc. Conducting cutting-edge research and potentially communicating research findings to the wider academic community via technical blog posts, technical reports and/or publications. Collaborate inclusively across Waymo/Alphabet to apply developed techniques to Waymo products. You have: PhD degree in Computer Science or a similar discipline, or an equivalent amount of deep learning research experience, with 5+ years of experience with Deep Learning and Generative Models. Strong coding skills in Python and strong familiarity with major ML Frameworks (JAX, Tensorflow, Pytorch). Strong familiarity with AI tools in day to day work. Experience in large-scale distributed training and different forms of parallelism. Experience in generative models for domains such as world models, images, videaos, 3D, human animation, traffic, and/or simulation, using techniques such as diffusion and/or autoregressive models. We prefer: Publications at top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/IROS/CoRL etc. Substantial involvement in and contributions to high impact industry AI projects. First-hand experience in, and direct contributions to training large world models / world-action models. Familiarity with Reinforcement Learning in simulation environments. 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 $213,000—$263,000 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 Related Job Openings There are currently no jobs matching this criteria Quick Links How We Hire Our Benefits 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 . 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