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Machine Learning Lead

Revel Robotics Prague, Prague, Czechia

Robotics Engineering · 11-50 employees

Jun 22
machine-learning Senior (5-10 yrs) Full-time Czechia
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About the role

Lead the RAI policy stack to transform human-demonstration data into robot behavior. Manage a senior ML team and oversee the training direction for force-expert and VLA models.

What they look for

Machine Learning Robotics PyTorch Deep Learning VLA Foundation Models Sim-to-real Transfer Model Productionization

Requirements

Requires senior ML leadership experience in robotics or a related field with strong PyTorch and deep-learning fundamentals. A proven track record of shipping models to production is essential.

Full description

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.

Lead the RAI policy stack: turn human-demonstration data into robot behaviour.

Responsibilities

  • Own the force-expert and VLA training direction
  • Lead a small, senior ML team
  • Take models from research to running on the robot

Requirements

  • 5+ years of relevant professional experience
  • Senior ML leadership in robotics or a related field
  • Strong PyTorch and deep-learning fundamentals
  • Track record shipping models to production

Bonus qualifications

  • VLA / foundation models
  • Sim-to-real transfer

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.

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