REVEL is an AI robotics company developing physical intelligence for general-purpose humanoid robots. We capture the force, dexterity and intent of human work with our Neural Gambit wearable, and use it to train RAI, the intelligence that powers our robots. REVEL is headquartered in Palo Alto, California, with R&D and engineering facilities in Prague and Hradec Králové, Czech Republic. This role is on-site with our engineering team in the Czech Republic.
Develop imitation- and reinforcement-learning methods that turn demonstrations into skills. Our RAI team builds the core intelligence that powers REVEL robots, learning from the force and intent Neural Gambit captures.
Responsibilities
Train and evaluate models on REVEL's human-demonstration data
Build scalable, reproducible training and evaluation pipelines
Collaborate across the RAI, hardware and data teams
Push results from research into production on the robot
Requirements
Strong Python and PyTorch (or JAX)
Solid deep-learning fundamentals and experimental rigour
Good software engineering practices
Bias to ship and iterate quickly
Bonus qualifications
Experience with vision-language-action or foundation models
Publication record in ML or robotics
Experience deploying to physical hardware
Skills Required
- Strong Python
- PyTorch (or JAX)
- Solid deep-learning fundamentals and experimental rigour
- Good software engineering practices
- Bias to ship and iterate quickly
- Experience with vision-language-action or foundation models
- Publication record in ML or robotics
- Experience deploying to physical hardware
What We Do
REVEL is an AI robotics company developing physical intelligence for general-purpose humanoid robots. The company captures the force, dexterity, and intent of human work through its Neural Gambit wearable to train RAI, the intelligence powering its robots. It serves as a modern robotics technology firm providing training data, infrastructure tools, and an AI data layer for the next generation of humanoid robots.
