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 PyTorch
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
We capture force, intent, and dexterity at the human, then deploy them on robots. Pre-seed open. First paid POC live. Industrial and logistics POCs in shaping.
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