Machine Learning Engineer (Egocentric 3D Human Pose)

About the Role

We are looking for a Machine Learning Engineer to join our core research and development team focused on recovering accurate 3D human body and hand motion from egocentric (first-person) video.

Human demonstration data is the foundation of robot learning, and its quality depends on accurately reconstructing human motion. In this role, you will develop models and production pipelines that transform head-mounted and body-mounted camera streams—including wide-FOV, stereo, motion-blurred, and heavily self-occluded video—into metrically accurate, temporally consistent 3D pose representations for robot policy training and human-to-robot motion retargeting.