Robot Learning Engineer
Core
Designing capture specifications, building evaluation harnesses, and training the first robot manipulation policies using human video data from fulfillment centers.
Role type
Senior IC robot learning engineer (physical AI)
Builds
Trainable video datasets and initial robot manipulation policies for autonomous grocery fulfillment
Domain
Robotics + Computer Vision + Logistics
Deliverable
production ML models
Required skills
PyTorch, 3D computer vision, camera calibration, pose estimation, SLAM fundamentals, robot learning stack, policy training, dataset curation
Preferred skills
Hand-pose estimation, egocentric video, multi-camera rigs, time synchronization, ROS 2, post-training robot models
Technologies
PyTorch, ROS 2, cloud infrastructure
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 in warehouse conditions, direct AI agents for data plumbing and reproduction scripts
Seniority
Senior, hands-on IC
