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.

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.