Research Engineer, Robotic Learning

Design simulation environments for robotic system NEO and train it to learn new manipulation and locomotion capabilities using reinforcement learning. Build full-stack pipelines from data engineering and model architecture through shipping RL policies to the production fleet, including sim2real transfer. Collaborate with controls, QA, and data collection teams, and deploy learned skills into home environments using large-scale imitation learning and distributed GPU training.