Research Scientist (Research)
Core
Conducting research on reinforcement learning (RL) and VLA post-training to enable next-generation physical AI for autonomous driving and robotic generalist systems.
Role type
Research Scientist (RL & Robotics)
Builds
Algorithms deployed into autonomous systems including self-driving cars, trucks, mining/construction machines, and humanoid robots.
Domain
Autonomous driving and robotics
Deliverable
production ML models
Required skills
Reinforcement learning, VLA post-training, computer vision, robotics systems, distributed machine learning training, Python, PyTorch
Preferred skills
Self-play RL, imitation learning, large-scale closed-loop RL in driving simulation, large-scale RL training infrastructure (Ray)
Responsibilities
Conduct research on large-scale self-play RL and VLA post-training; work on publications for top-tier conferences; collaborate with engineering teams to test and deploy algorithms to autonomy products.
Seniority
Individual Contributor (Open to all years of experience, potential Tech Lead/Manager capacity)
