Research Engineer - Robot Learning
Core
Develop cutting-edge physical AI for end-to-end autonomous driving and robotic generalist applications, deploying methods into self-driving vehicles, mining/construction machines, and humanoid robots.
Role type
Research Engineer (Robot Learning & Simulation)
Builds
Robotic simulation environments, RL training pipelines, and end-to-end autonomy algorithms for mass production vehicles and robots.
Domain
Robotics, Autonomous Driving, Reinforcement Learning, Computer Vision
Deliverable
production ML models | research
Required skills
Python, PyTorch, computer vision, robotics systems, distributed machine learning model training, reinforcement learning, multi-modal robot learning, VLA post-training, physics-aware reconstruction, deformable simulation
Preferred skills
World-action foundation models, video/Gaussian generation, diffusion policy, industry experience in self-driving applications
Technologies
Python, PyTorch
Responsibilities
Support robotic and data collection hardware setup and design mechatronic systems; construct robotic simulation environments at scale for RL training; process human data for robotic use cases; collaborate on high-quality research publications; work with engineering teams to deploy end-to-end algorithms for mass production vehicles.
