R

Robot Learning Engineer

revel • Czechia
Visa Sponsorship Relocation
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Develop imitation- and reinforcement-learning methods that turn human demonstrations into robot skills for REVEL's humanoid robots. Train and evaluate models on human-demonstration data, build scalable training and evaluation pipelines, and push research results into production on the robot. Requires 3+ years of relevant professional experience, hands-on robot-learning model modification and on-robot deployment, and proficiency in Python and/or C++ with deep-learning frameworks such as PyTorch.

Key Highlights
On-site role in Prague, Czech Republic
Develop imitation- and reinforcement-learning methods for humanoid robots
Build and ship robot-learning systems on real robots
3+ years of relevant professional experience required
Visa sponsorship and relocation assistance offered
Key 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
Technical Skills Required
Python C++ PyTorch
Benefits & Perks
Unlimited paid time off
Complimentary lunch
Coffee, snacks, and drinks
Work visa sponsorship
Relocation assistance
Nice to Have
Experience using reinforcement learning approaches such as PPO, SAC, offline RL, or RL fine-tuning
Track record of deploying learning-based manipulation systems on commercial or production robots
Prior work with humanoids or other highly dexterous robotic platforms
Publication record in robot learning, manipulation, or embodied AI

Job 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. 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

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