RAI AI Robot 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 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

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