Research Intern - Reinforcement Learning, Self-Driving
Core
Conducting research on reinforcement learning (RL) for end-to-end autonomous driving and robotic generalist systems.
Role type
Research Intern (Reinforcement Learning)
Builds
Research publications and methods deployed into autonomous driving and robotic systems.
Domain
Autonomous driving and robotics
Deliverable
research
Required skills
Reinforcement learning, machine learning, computer vision, robotics, neural simulation, reward learning, imitative behavior learning
Preferred skills
Large-scale self-play RL, VLA post-training, closed-loop RL
Technologies
Neural simulation, large-scale data fleets
Responsibilities
Conduct research on RL topics including large-scale self-play and reward learning; Collaborate with scientists and engineers on high-quality research publications; Deploy developed methods into autonomous systems.
Seniority
Intern
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