Phd Research Intern, Multi-agent Driving Simulation

Zoox

Foster City, CA, United States
**
Multi-agent simulation development
Reinforcement learning research
Imitation learning algorithms
** Zoox is seeking a PhD Research Intern for their Offline Driving Intelligence team in Foster City, CA, to work on multi-agent driving simulation using machine learning techniques. This internship offers hands-on experience with state-of-the-art research and mentorship, contributing to the development of driving policies for autonomous vehicles. **

Job Summary

  • This internship is with the Offline Driving Intelligence team focusing on creating human-like driving policies in simulation environments.
  • Interns will tackle open research problems at the frontier of large-scale reinforcement and imitation learning to develop state-of-the-art agent policies.
  • There is a direct path from the novel research conducted during this internship to being used in production as part of Zoox's autonomous driving software testing system.

Matching Summary

Match Score: 75

** Zoox is seeking a PhD Research Intern for their Offline Driving Intelligence team in Foster City, CA, to work on multi-agent driving simulation using machine learning techniques. This internship offers hands-on experience with state-of-the-art research and mentorship, contributing to the development of driving policies for autonomous vehicles. **

Skills & Requirements

Must-have

  • Multi-agent simulation development
  • Reinforcement learning research
  • Imitation learning algorithms

Nice-to-have

  • Publishable research experience
  • Mentorship from experienced researchers
  • Production system integration interest

Key Requirements

  • PhD level education or equivalent research background
  • Experience with ML-Agents frameworks
  • Background in autonomous driving simulation

Work Rights

Not specified

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