Research Engineer / Scientist (Robot Learning)

Highlights

• Develop end-to-end robot policies for real-world deployment at scale.
• Close the sim-to-real gap to enable robust, precise robot behavior.
• Advance spatial intelligence beyond language models into physical worlds.

What they offer

• Health, dental and vision benefits
• 401K benefits
• Flexible PTO
• Paid parental leave
• Relocation support
• Equity

Ideal candidate

A fearless, mission-driven robotics researcher who thrives in ambiguity and owns projects from concept to deployment. You care deeply about correctness, robustness, and raising the bar with a small high-caliber team.

Requirements

• PhD in robotics, machine learning, computer science, or closely related field strongly preferred
• 6+ years of experience working on manipulation, locomotion, robot policy training, or related areas
• Strong foundation in robotics, neural network designs, sim-real transfer
• Deep experience with robot policy designs (e.g., VLA, WAM, diffusion)
• Proficiency in Python and/or C++ with hands-on experience building research or production robotic systems
• Experience with deep learning frameworks (e.g., PyTorch) and low-level robotic controller
• Proven ability to work in ambiguous, fast-moving environments and drive projects from concept through deployment
• Strong sense of ownership and engineering rigor around correctness, stability, and measurable improvements