AI Researcher - Robot Learning

Highlights

• Own RL pipeline from simulation training to deployed policies on home humanoid NEO.
• Advance sim-to-real transfer to make home manipulation and locomotion reliable.
• Ship whole-body skills like crawling, bracing and lifting for real homes.

What they offer

• Equity
• Comprehensive medical, dental, and vision coverage
• Generous paid time off, company holidays, and parental leave
• 401(k) plan with company match
• FSA and HSA options
• Commuter benefits
• Short-term and long-term disability and life insurance
• Employee Assistance Program
• Onsite snacks and catered lunches

Ideal candidate

Sim-to-real practitioner who owns RL from training to field deployment and thrives with hardware teams. Motivated by safe home robots and measured by real-world task success, not just sim benchmarks.

Requirements

• Strong Python and/or C++ with experience in large codebases and Bazel or equivalent
• Proficiency with PyTorch for RL policy training and experimentation
• Hands-on experience with simulation platforms like Isaac Sim or MuJoCo for policy training at scale
• Demonstrated experience training RL policies for manipulation or locomotion with sim-to-real transfer on hardware