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.
Design RL and post-training methods to make policies robust and reliable. 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
Track record of building and training RL policies such as PPO, SAC, or offline RL, with a deep understanding of how they work—not just how to call them
Experience applying RL to robotics or physical-system control, including personally deploying and validating RL policies on real hardwaree
Strong understanding of sim-to-real transfer, including domain randomization, system identification, latency, actuator dynamics, and common transfer failure modes
Comfortable using physics simulators such as Isaac Lab, MuJoCo, or equivalent to train and stress-test policies
Bonus qualifications
Locomotion or legged-robot RL experience
Understanding of robot dynamics, control theory, or whole-body control
Exposure to VLAs or other foundation models applied to robotics
Experience with offline RL, imitation learning, or approaches combining demonstrations with interaction
Publications or strong open-source work in RL, ML, or robotics
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.