Staff Research Scientist, Foundation Models Recipes

Waymo · Mountain View, CA

Pay

$251k–310k

Setting

On-site

Apply Sign in to mark as applied ← Back to all jobs

Why Waymo Working at Waymo Teams Early careers How we hire Open roles Visit Waymo.com Staff Research Scientist, Foundation Models Recipes MOUNTAIN VIEW, CALIFORNIA, UNITED STATES | SAN FRANCISCO, CALIFORNIA, UNITED STATES | KIRKLAND, WASHINGTON, UNITED STATES FULL-TIME AI FOUNDATIONS 5156 Apply now 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. In this hybrid role, you will report to a Senior Director of AI Foundations You will: Own the data recipe for Waymo’s Foundation Model pre-training and post-training Lead and drive science on best practices around clustering, filtering, de-duplication, long-tail data mining, memorization, etc. Tech-lead a team of research engineers to build the data flywheel to enable the above from Waymo’s massive driving data Integrate emerging research from the broader community to do rigorous ablations and promising data research techniques. This includes scaling ladders for pre-training, data mix optimizations and RL recipes (preferences) for post-training. Engage with the wider research community on best practices around data centric evaluation creation and refinement Partner with engineering and research teams across Waymo to share recipes, techniques, and post-training best practices to accelerate our collective know-how You have: PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field; with 3+ years of industry or post-doc research experience in Data-centric AI, Reinforcement Learning or Foundation Models Demonstration of original contributions to the field through high-impact publications (ArXiv, peer-reviewed conferences like NeurIPS/ICLR/CVPR), technical blog posts, or significant open-source contributions Proficiency and in-depth knowledge of the inner workings of an ML framework (e.g. Pytorch, JAX, Tensorflow) We prefer: Extensive experience working with data and recipes for large scale foundation models ML infra experience: training, evaluating and deploying ML models at scale Deep learning experience, especially with generative models, e.g., LLMs/VLMs, and/or reinforcement learning In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process 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 $251,000—$310,000 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 waymo-candidatesupport@google.com. (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.) Share Share Content missing Related Job Openings Research Scientist, RL for Autonomous Planning & World Modeling Mountain View, California. San Francisco, California. New York City, New York. Kirkland, Washington Staff Machine Learning Engineer – VLM/LLM Mountain View, California. San Francisco, California. New York City, New York Staff Research Scientist, Perception Mountain View, California. San Francisco, California. New York City, New York. Kirkland, Washington Senior Research Scientist, Perception Mountain View, California. San Francisco, California. New York City, New York. Kirkland, Washington 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. Previous Next Learn more Ready to Apply? Content missing 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

Listed by Waymo for a position based in the United States. Employers on this board attest they are hiring domestically.