Robot Learning Engineer

About the Role This is an entry-level research and engineering position at a small, ambitious industrial robotics startup in Munich. You'll apply state-of-the-art machine learning — spanning perception, reinforcement learning, and imitation learning — directly to a real robotic work cell built to automate some of the most demanding manual tasks in industry: surface finishing, welding, and coating . Expect tight research-to-hardware feedback loops and the satisfaction of seeing your models run on physical factory equipment. What You'll Do Research, evaluate, and prototype ML models for robot perception and task understanding Apply computer vision and deep learning to multi-modal sensor data (RGB cameras, depth sensors, force/torque) Design and run experiments with reinforcement learning and imitation learning for robot control Integrate trained AI models into a ROS 2 -based robotics stack Iterate rapidly on experiments and maintain rigorous evaluation practices Bridge the gap between research prototypes and real-world factory deployment What We're Looking For Required BSc or MSc in Robotics, Computer Science, AI, or a closely related field Strong Python skills and hands-on experience with PyTorch or TensorFlow Practical exposure to computer vision and/or robot learning (thesis, internship, open-source, or research project) Genuine interest in physical systems and real-world robotics — not purely software or NLP backgrounds 0–3 years of professional or research experience Eligible to work in Germany and able to work on-site in Munich (no visa sponsorship available) Nice to Have Experience with robot simulation environments: Isaac Sim , MuJoCo , or PyBullet Sim-to-real transfer techniques 3D perception: point clouds, depth estimation, or 3D scene understanding Familiarity with ROS 2 Research publications or competition results in robotics / ML Compensation & Benefits Equity participation — meaningful stake in an early-stage company Cash compensation details to be discussed directly during the interview process Small team environment with high ownership and direct impact Location This role is fully on-site in Munich, Germany . Candidates must already be eligible to work in Germany; visa sponsorship is not available. Candidates willing to relocate to Munich are welcome to apply.