PhD Research Intern, Multi-Agent Driving Simulation

Job description

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 driving policies 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. Requirements: - Currently working towards a Ph.D., or advanced degree in a relevant engineering program - Good academic standing - Able to commit to a 12-week internship during one of the following summer 2026 cohorts: May 18th - August 7th OR May 26th - August 14th OR June 15th - September 4th - Ability to relocate to the Bay Ar...