Research Scientist - Reinforcement Learning, Robotics
Core
Conduct research on reinforcement learning (RL) and VLA post-training for robotics and autonomous systems, focusing on dexterous manipulation and large-scale closed-loop RL.
Role type
Research Scientist (Reinforcement Learning, Robotics)
Builds
Algorithms deployed into autonomy and robotics products including self-driving cars, mining/construction machines, and humanoid robots.
Domain
Physical AI, Autonomous Driving, Robotics
Deliverable
production ML models
Required skills
Reinforcement learning, VLA post-training, Computer vision, Robotics systems, Distributed machine learning training, Python, PyTorch
Preferred skills
Large-scale closed-loop RL in robotic simulation, Large-scale RL training infrastructure
Responsibilities
Conduct research on RL topics including large-scale closed-loop RL and VLA post-training; Collaborate with engineering teams to test and deploy algorithms to products; Work on research publications for top-tier conferences.
Seniority
Individual Contributor (Open to all years of experience, potential Tech Lead/Manager capacity)
