Robot Learning Engineer
Core
Design capture specifications for human-robot interaction data, build evaluation harnesses, and train the first robot manipulation policies on a proprietary dataset of grocery handling.
Role type
Senior IC robot learning engineer (physical AI)
Builds
A trainable corpus of human video for robot manipulation policies and initial policy models
Domain
Robotics, computer vision, autonomous logistics
Deliverable
production ML models
Required skills
PyTorch, 3D computer vision, camera calibration, pose estimation, SLAM fundamentals, robot learning stack, dataset curation
Preferred skills
Hand-pose estimation, egocentric video, multi-camera rigs, ROS 2, post-training robot learning models
Responsibilities
Define camera capture specs and calibration standards, build evaluation harnesses to validate data trainability, post-train open robot-learning models on collected data, reproduce published research for warehouse conditions, direct AI agents for data plumbing and reproduction scripts
Seniority
Senior, hands-on IC
