AI Research Engineer - Human Data
Core
Develop robotics foundation models and multi-modal human action data pipelines to advance generalizable manipulation and bridge human embodiment to robotic execution.
Role type
Senior IC research scientist/engineer (robotics foundation models & human data)
Builds
Robust, real-world robotic manipulation systems and simulation environments
Domain
Robotics, Reinforcement Learning, Computer Vision, Human-Robot Interaction
Deliverable
production ML models
Required skills
PhD in CS or equivalent, multimodal generative modeling, reinforcement learning, imitation learning, vision-language models, video processing, dataset curation, 3D reconstruction
Preferred skills
capture methodologies, wearable capture systems, simulators, dexterous manipulation, multimodal sensing (tactile, force)
Technologies
UMI, sensorized gloves, VLA, WAM, RL, 3D reconstruction tools
Responsibilities
Develop capture pipelines for human video and wearable data, build automated 3D object reconstruction pipelines, create simulation environments with reconstructed assets, design and train robot foundation models, develop algorithms for embodied transfer to humanoid platforms
