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Robot Learning Engineer – Embodied AI & Humanoid Robotics

Robson Bale • Czechia
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Develops and optimizes imitation/reinforcement learning models for robotic manipulation and autonomous behavior. Focuses on deploying AI models onto physical humanoid robots for real-world applications. Requires 3+ years in robot learning, strong Python/C++ skills, and hands-on experience with PyTorch, imitation learning, and robotic deployment.

Key Responsibilities
Develop and optimize imitation/reinforcement learning models for robotic manipulation and autonomous behavior
Deploy and validate learning-based models on physical robotic systems
Collaborate with robotics, hardware, and data engineering teams to improve robotic capabilities
Technical Skills Required
Python C++ PyTorch
Benefits & Perks
Relocation & visa sponsorship
Unlimited paid time off
Complimentary daily lunch, refreshments, and snacks
Access to high-performance GPU workstations and robotic hardware
Nice to Have
Experience with reinforcement learning techniques (PPO, SAC, offline RL)
Research publications in robot learning or embodied AI
Experience deploying robotic systems into commercial/industrial environments

Job Description

The Opportunity

We are working with an exciting AI robotics company developing the next generation of intelligent humanoid robots. The business is building advanced physical AI systems that enable robots to learn complex human tasks through demonstration, imitation learning, and reinforcement learning.

We are looking for a Robot Learning Engineer who can take machine learning models beyond research and simulation, deploying them onto physical robots and improving their performance in real-world environments.

Key Responsibilities

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