Description
The Vice President, Robot Learning will lead an early-stage robotics startup's robot learning organization and roadmap, transforming teleoperation data into learned policies and progressively autonomous capabilities for humanoid telepresence systems. The role owns data pipelines, imitation learning, reinforcement learning, policy optimization, contact-rich manipulation, force feedback, and production robotics systems, while collaborating with hardware, controls, perception, and AI teams and building a technical organization. It requires a PhD or equivalent expertise, significant real-world robot learning experience, and a track record of shipping robotics systems from research to production.
