About the role
Staff Machine Learning Engineer – VLM/LLM Evaluation - Mountain View, California, United States - New York City, New York, United States - Kirkland, Washington, 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 Staff Machine Learning Engineer – VLM/LLM Evaluation Mountain View, California, United States. New York City, New York, United States. Kirkland, Washington, United States Full-Time AI Foundations 4577 Apply now Staff Machine Learning Engineer – VLM/LLM Evaluation 4577 On Site Mountain View, California New York City, New York Kirkland, Washington 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 you will report to a Senior Staff Software Engineer. You will: Work with a creative team of people who help to build the state-of-the-art Foundation Models that are used throughout Waymo’s systems, both onboard autonomous vehicles and offboard in simulation Lead the development of end-to-end evaluation systems and benchmarks for Waymo Foundation models, encompassing the entire lifecycle from pretraining and supervised fine-tuning (SFT) to reinforcement learning (RL), for evaluating the quality, safety, and realism of embodied AI agents Partner within and across organizations to land disruptive and innovative tech in production Implement and extend large large scale data and evaluation pipelines You have: Master’s degree or PhD degree in Computer Science, similar technical field of study, or equivalent practical experience 5+ years of experience in ML engineering and applied Deep Learning, with a strong portfolio of shipped products or publication record Experience with large scale distributed system Proficient programming skills (eg: Python, C/C++) Strong analytical and debugging skills We prefer: 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 Proficiency and in-depth knowledge of the inner workings of an ML framework (e.g. Pytorch, JAX, Tensorflow) 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 $238,000—$302,000 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 ML Engineer, Foundation Model Evaluation Remote. Mountain View, California Senior Research Scientist, Foundation Model (LLM/VLM) Mountain View, California. San Francisco, California. New York City, New York Research Scientist, RL for Autonomous Planning & World Modeling Remote. Mountain View, California Research Scientist / Computer Vision Researcher, Map Scalability Mountain View, 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. 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