Robot Learning Engineer
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Reach the decision-maker — $5About the role
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.
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