RAI AI Engineer, Data Infrastructure
Revel Robotics · Prague, Prague, Czechia
Robotics Engineering · 11-50 employees
About the role
Build scalable data infrastructure and training pipelines to feed human-demonstration data into the RAI intelligence. Train and evaluate models to push research results into production on humanoid robots.
What they look for
Requirements
Requires strong proficiency in Python and PyTorch or JAX, along with solid deep-learning fundamentals and software engineering practices. Experience with foundation models or deploying to physical hardware is a bonus.
Full description
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.
Build the data infrastructure that feeds training from the capture workstation to the cluster. 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
