Internship - Summer Intern, PhD Research Scientist, Generative AI

About Waymo

Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they’re going. Since our start as the Google Self‑Driving Car Project in 2009, Waymo has been focused on building the Waymo Driver – the world’s most experienced driver – to improve everyone’s access to mobility while saving thousands of lives lost to traffic crashes.

Our Waymo Driver powers Waymo One, our fully autonomous ride-hailing service, as well as Waymo Via, our trucking and local delivery service. To date, Waymo has driven over 20 million miles autonomously on public roads across 25 U.S. cities and conducted over 20 billion miles of simulation testing.

At Waymo, we are mission‑driven and believe deeply in the opportunity of autonomous driving technology to improve mobility and make people’s lives better. We are united by purpose and responsibility for our employees and riders alike. We are looking for kind, committed employees who have integrity, dream big, work together as one team and create a sense of belonging that is the foundation of our culture.

We want each team member to feel welcomed and included in every step of our exciting journey.

The mission of the Waymo Research 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. We also initiate and foster collaborations with other research teams in Alphabet. Current focus areas include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

Waymo interns work alongside leaders in the industry on projects that deliver significant impact to the company. We believe learning is a two‑way street: leveraging your knowledge while providing you with opportunities to expand your skill‑set. Interns are an important part of our culture and recruiting pipeline.

• Work on open‑ended ML research problems for realistic simulation of autonomous vehicle driving environments.
• Frame real‑world problems into well‑defined ML problems; develop and apply cutting‑edge ML approaches (deep learning, generative modeling, reinforcement learning, etc.) to these problems; scale them to large data pipelines; and streamline them to run in real‑time on cars.
• Collaborate with other teams, including the ML infrastructure, simulation and systems engineering teams, as well as Google Brain, Deep Mind and academia.
• Get an opportunity to publish findings in academic conferences and journals, and/or externally publicize the work in public‑facing blog posts.

• Currently enrolled in a PhD program in Computer Science, Robotics, or a similar technical field.
• Experience solving problems using Machine Learning with Tensor Flow, JAX or equivalent tools.
• Ability to collaborate within and across teams.
• Ability to independently drive a reasonably scoped, open‑ended research project.
• Strong experience programming in Python with robust and efficient code.

• Strong track record of high‑quality ML research, demonstrated by conference publications in venues such as CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, etc.
• Experience applying machine learning to sequence modeling, behavior forecasting, simulation, or robotics.
• Experience with generative models (e.g., autoregressive models, diffusion models, GANs, VAEs, etc.).