Research Engineer - Reinforcement Learning, Self-Driving

Highlights

• Research large-scale self-play RL for end-to-end autonomous driving.
• Deploy algorithms to mass-production vehicles and robotic systems.
• Access millions of miles of fleet data with industry-leading infra.

Ideal candidate

Passionate researcher excited by scalable autonomy and real-world robotics who thrives collaborating across research and engineering to bring cutting-edge learning to production vehicles.

Requirements

• Hands-on experience in self-play RL and imitation learning, behavior learning
• Experience in VLA post-training for autonomy or robotics
• Experience in large-scale closed-loop RL in driving simulation
• Experience in large-scale RL training infrastructure (Ray preferred)
• Passion for next-generation, scalable autonomy and robotics for real-world systems
• Strong engineering and research skills with ability to work independently and collaboratively
• Technical experience in Python, PyTorch, computer vision, robotics systems and distributed ML training