RAI AI Engineer, Robot Learning

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

• Experience building and shipping robot learning systems on real robots, not just in simulation

• Strong grounding in manipulation and visuomotor control, mapping perception directly to action

• Experience with behavior cloning, imitation learning, or reinforcement learning.

• Proficient in Python and/or C++ for both training pipelines and robot facing code

• Fluency with deep learning frameworks (PyTorch or similar) for training and fine tuning large models

• Comfortable designing experiments, diagnosing failures, and iterating fast on physical systems

Bonus qualifications

• Experience turning large models (VLAs, VLMs, Transformers, or Diffusion Policies) into reliable end-to-end learned behaviors.

• Track record deploying learning based manipulation systems in commercial or production robots, not just demos

• Prior work on humanoids or other highly dexterous robotic platforms

• Publication record in robot learning, manipulation, or embodied AI