Job 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. Our RAI team is responsible for the core AI systems that power robot autonomy. We are looking for a Senior Robotics ML Engineer to own the policy stack that turns Neural Gambit data into force-aware behaviour on GENESIS.
Responsibilities
- Design and train Vision-Language-Action (VLA) policies on human-demonstration data
- Build the force-expert that maps HD-sEMG signals into force on the robot policy
- Close the sim-to-real loop in NVIDIA Isaac Sim
- Build and optimise large-scale training pipelines across multi-node GPU clusters
- Design evaluation frameworks for robustness and cross-task generalisation
- Ship models that run on-board, in real time, on the robot Requirements
- Experience training modern deep-learning models for robotics or manipulation
- Strong understanding of imitation learning, reinforcement learning, or VLA architectures
- Proficiency in Python and Py. Torch
- Comfort working with messy, real-world sensor data
- Strong software engineering and a bias to ship Bonus qualifications
- Experience with vision-language-action models or foundation models for robotics
- Publication record in robot learning or manipulation
- Experience deploying models to physical hardware