2027 Summer Intern, MS/PhD, Machine Learning, Driver Refinement Foundations

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.Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you.The Team For This Role Will BeDriver Refinement FoundationsDescriptionThe team is accountable for providing the common, consistent framework (and enabling expertise) for post-training and heuristic hill climbing across the entire Planner organization. We build fundamental platforms to assist Waymo engineers in delivering driving behavior improvements using data-driven and heuristic methods.Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!You WillMine and curate dataset samples from large corpus of driving dataLeverage large language models and world foundation models for reasoning, decision making and multi-modality generationDesign and implement robust data generation pipelines for data generationDesign and evaluate experiments for model trainingDesigning robust data generation pipelines for model trainingYou HaveCurrently enrolled in a graduate program (Master's or PhD) in Computer Science or a related technical fieldYou have strong problem solving and programming skills in Python and/or C++Good understanding of Jax/PytorchExperience in model evaluation and understanding metricsExperience in strong software engineering principlesWe PreferSome understanding of SQL is preferred, not requiredPrevious Internship experiencePhD preferredGeneral PerksHelp solve challenging problems with a direct impact on the companyCompetitive compensation packages with a housing/relocation bonus (if applicable)Medical, dental, and vision insuranceFun intern events and networking opportunitiesOnsite PerksFree breakfast, lunch, dinner, and snacks Free access to Google shuttlesOnsite gymNote: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.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 Masters Pay$70—$70 USDThe 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$85—$85 USD