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Robot Learning Engineer – Embodied AI & Humanoid Robotics

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Robot Learning Engineer – Embodied AI & Humanoid Robotics


Location: Prague, Czech Republic (On-site)


Employment: Permanent, Full-Time

Relocation & Visa Sponsorship Available


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.

With a highly experienced engineering team drawn from some of the world's leading technology and robotics companies, this is an opportunity to work at the forefront of embodied AI and help bring intelligent robotic systems into real-world commercial environments.

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


  • Develop and optimise imitation learning and reinforcement learning models for robotic manipulation and autonomous behaviour.
  • Train and evaluate models using real-world human demonstration data.
  • Work with techniques including behaviour cloning, diffusion policies, transformers and vision-language-action (VLA) models.
  • Build scalable and reproducible machine learning training and evaluation pipelines.
  • Deploy and validate learning-based models on physical robotic systems.
  • Collaborate closely with robotics, hardware and data engineering teams.
  • Investigate model failures, optimise performance and continuously improve robotic capabilities.
  • Translate cutting-edge robotics research into reliable, production-ready systems.


What We're Looking For


  • 3+ years of professional experience in robot learning, robotics AI, embodied AI or a closely related field.
  • Strong Python and/or C++ programming skills.
  • Hands-on experience with PyTorch or similar deep learning frameworks.
  • Practical experience with imitation learning, behaviour cloning, diffusion policies, reinforcement learning or VLA models.
  • Experience modifying, training and fine-tuning machine learning models for robotic applications.
  • Proven experience deploying learning-based models onto physical robots, not solely simulation environments.
  • Strong understanding of the challenges involved in real-world robotic deployment, testing and validation.
  • An experimental mindset with the ability to diagnose problems and rapidly improve system performance.


Desirable Experience


  • Reinforcement learning techniques including PPO, SAC or offline RL.
  • Robotic manipulation, dexterous robotics or humanoid platforms.
  • Vision-language models, transformers or world models.
  • Experience deploying robotic systems into commercial or industrial environments.
  • Research publications in robot learning, embodied AI or robotic manipulation.
  • What's on Offer?


    • The opportunity to develop cutting-edge AI technology for next-generation humanoid robots.
    • Work alongside engineers and researchers with backgrounds at NVIDIA, SpaceX and leading robotics companies.
    • Direct involvement in taking advanced AI research into real-world robotic applications.
    • Access to high-performance GPU workstations, computing clusters and physical robotic hardware.
    • Opportunities to attend leading robotics and AI conferences.
    • Unlimited paid time off.
    • Full relocation assistance and visa sponsorship for international candidates.
    • Complimentary daily lunch, refreshments and snacks.
    • A collaborative, research-driven engineering environment in Prague.

    Interested?

    If you have experience developing machine learning systems that enable robots to learn and perform real-world tasks, we would be keen to hear from you.


    Apply today or get in touch for a confidential discussion about the opportunity.

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