PhD Research Intern, Offline Driving Intelligence at Zoox

This internship opportunity is with the Offline Driving Intelligence team working on ML-Agents, within Zoox’s broader Foundation Models organization. The team focuses on creating agents that behave like humans (in driving simulation environments). We are developing multi-agent simulation, tackling open research problems at the frontier of large-scale reinforcement and imitation learning. 

Interns on this team will have the opportunity to develop state-of-the-art agent policies, contribute to publishable research, and receive mentorship from experienced researchers in the field. Interns will work with a mentor to address a major open research question currently facing the team. There is a direct path from the novel research of this internship to being used in production as part of the simulation system that tests Zoox’s autonomous driving software.

Experience with imitation learning (both behavior cloning and closed-loop methods)

Experience with online reinforcement learning

Advanced understanding of Python, PyTorch, and Jax

Experience working in large codebases as part of a team

Has authored publications in top ML/robotics conferences (e.g. NeurIPS, CVPR, ICRA, etc)

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.