RAI Reinforcement Learning Engineer

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. Our R&D and engineering facilities are in Prague, Czech Republic. This role is on-site with our team in Prague.

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.