Robot Learning Engineer
Core
Designing capture specifications and building evaluation harnesses to create a trainable dataset of human grocery handling for robot manipulation policies.
Role type
Senior IC robot learning engineer (data capture & policy training)
Builds
A proprietary dataset of human grocery handling and initial robot manipulation policies
Domain
Robotics + E-grocery fulfillment
Deliverable
production ML models
Required skills
PyTorch, computer vision with 3D geometry, camera calibration, pose estimation, SLAM fundamentals, robot learning stack, policy classes, dataset collection instincts
Preferred skills
hand-pose estimation, egocentric video, multi-camera rigs, time sync, ROS 2
Technologies
PyTorch, ROS 2, Claude Code, Devin
Responsibilities
Define camera capture specs and calibration standards, build evaluation harnesses to validate dataset trainability, post-train open robot-learning models on collected data, reproduce published research claims for warehouse conditions, direct AI agents for data plumbing and reproduction scripts
Seniority
Senior, hands-on IC
