Machine 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. 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.

Train and deploy the policies that run on the robot, learning from Neural Gambit data.

Responsibilities

Train and evaluate models on REVEL's human-demonstration data

Build training and evaluation pipelines

Push results onto the physical robot

Requirements

3+ years of relevant professional experience

Strong Python and PyTorch

Robot learning, imitation, or RL experience

Bias to ship and iterate

Bonus qualifications

Biosignal ML

NVIDIA Isaac Sim

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.