AI Research Engineer - Reinforcement Learning

We build humanoid robots that work alongside people to solve labor shortages and create abundance.

• Own the full stack of engineering tasks, from data engineering and model architecture to product deployment

• Train NEO on a variety of manipulation and locomotion tasks

• Collaborate with hardware teams to bridge the sim-to-real gap for policies trained in simulation

• Partner with controls, QA, and data collection teams to ship RL policies to production

• Deploy reinforcement learning-trained skills into real-world home environments

• Strong programming experience in Python and/or C++ with familiarity using build tools such as Bazel

• Proficiency with PyTorch

• Hands-on experience with simulation platforms like Isaac Sim or MuJoCo

• Experience training reinforcement learning policies, especially for manipulation or locomotion

• Ability to collaborate cross-functionally with hardware, control, data, and QA teams

• Demonstrated experience addressing the sim-to-real gap