Robot Learning Engineer

ABOUT THE ROLE An early-stage industrial robotics startup in Munich is looking for a Robot Learning Engineer to join a small, ambitious team working at the frontier of intelligent automation. This is an entry-level / new-grad research role where you'll apply state-of-the-art machine learning — perception, reinforcement learning, imitation learning, and sim-to-real transfer — directly to a real industrial robotic work cell handling some of the hardest manual tasks in manufacturing: surface finishing, welding, and coating. You'll have the rare opportunity to see your ML work run on physical factory hardware from day one. WHAT YOU'LL DO - Research and evaluate ML models for robot perception and task understanding - Apply computer vision and deep learning to multi-modal sensor data (cameras, force/torque sensors, depth) - Experiment with reinforcement learning and imitation learning for robot control - Integrate AI models into the ROS 2 robotics stack - Run rigorous experiments and iterate rapidly on results - Bridge the gap between research prototypes and real-world factory deployment WHAT WE'RE LOOKING FOR Required: - Bachelor's or Master's degree in Robotics, Computer Science, AI, or a closely related field - 0–3 years of hands-on experience in robotics, computer vision, or AI research - Proficiency in Python and at least one deep learning framework (PyTorch or TensorFlow) - Experience with ROS 2 - Experience with computer vision and sensor data processing for robotics applications - Practical knowledge of reinforcement learning and/or imitation learning for robot control - Ability to collaborate across research and real-world deployment in a robotics context - Legal right to work in Germany — visa sponsorship is not available - Based in Munich or willing to relocate (role is fully on-site) Nice to Have: - Experience with sim-to-real tools such as Isaac Sim, MuJoCo, or PyBullet - Strong fundamentals demonstrated through research publications, a thesis, internships, or open-source contributions in robotics or AI - Familiarity with 3D perception, point clouds, or depth estimation COMPENSATION & BENEFITS - Equity participation offered - Cash compensation to be discussed directly — competitive for an early-stage startup LOCATION On-site in Munich, Germany. Relocation expected. No remote or hybrid arrangements available for this role.