AI Researcher - Robot Learning
1X, San Carlos, CA
The team
The Motion team enables NEO to move through and interact with the world. We build the perception NEO needs to understand its surroundings and locomote through any environment, and the control that lets it use its whole body to accomplish real tasks - crawling, bracing, climbing, lifting with more than just its arms. Because NEO operates around people, safe and compliant motion is a design constraint on everything we ship, not a feature layered on top.
What you need
- Strong Python and/or C++ with experience in large codebases and build tools (Bazel or equivalent)
- Proficiency with PyTorch for RL policy training and experimentation
- Hands-on experience with simulation platforms (Isaac Sim, MuJoCo, or equivalent) for policy training at scale
- Demonstrated experience training RL policies for manipulation or locomotion tasks, including addressing the sim-to-real gap on physical hardware
Nice to have
- Experience with model-based RL or world-model-guided policy learning that leverages predictive models to improve sample efficiency