About REVEL
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
3+ years of relevant professional experience
Having modified robot-learning models and taken them from training through on-robot deployment, inference, testing, and validation—not only used off-the-shelf implementations
Experience building and shipping robot-learning systems on real robots, not only in simulation
Experience with one or more of the following: behavior cloning, imitation learning, VLAs, VLMs, Transformers, Diffusion Policies, or world models
Proficient in Python and/or C++ and deep-learning frameworks such as PyTorch for building training pipelines, fine-tuning models, and developing robot-facing code
Comfortable designing experiments, diagnosing failures, and iterating quickly on physical systems
Bonus qualifications
Experience using reinforcement learning approaches—such as PPO, SAC, offline RL, or RL fine-tuning—to improve learned robot behaviors
Track record of deploying learning-based manipulation systems on commercial or production robots, not only demos
Prior work with humanoids or other highly dexterous robotic platforms
Publication record in robot learning, manipulation, or embodied AI
Why REVEL
Work That Ships: We capture how skilled humans work, their force, touch, and judgment, and our robots do the work. You put robots on a paying customer's floor, not in a demo loop
The Team: Colleagues from NVIDIA, SpaceX, and Neura Robotics, and founders you work with directly. No layers, no process between you and the decisions
Your Own Hardware: A top-spec GPU workstation, cluster access, and hands-on time with the robots you're building. Not a software sandbox
Keep Learning: Conference budget for select roles (GTC, CoRL, ICRA), and room to publish and contribute to open source where our IP allows
What we offer
Unlimited Paid Time Off: Real flexibility to take time away when you need it. We trust our people to own their work, their time, and their results
Prague, On-Site: Robots need hands, so we work together in our Prague lab. Moving here? We sponsor your work visa and cover relocation
Lunch, On Us: Complimentary lunch every working day, plus coffee, snacks, and drinks whenever you need a boost
How to apply
Apply through the link on this posting.