Robot Learning Engineer

About the RoleThis 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 DoResearch, evaluate, and prototype ML models for robot perception and task understandingApply 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 controlIntegrate trained AI models into a ROS 2-based robotics stackIterate rapidly on experiments and maintain rigorous evaluation practicesBridge the gap between research prototypes and real-world factory deploymentWhat We're Looking ForRequiredBSc or MSc in Robotics, Computer Science, AI, or a closely related fieldStrong Python skills and hands-on experience with PyTorch or TensorFlowPractical 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 backgrounds0–3 years of professional or research experienceEligible to work in Germany and able to work on-site in Munich (no visa sponsorship available)Nice to HaveExperience with robot simulation environments: Isaac Sim, MuJoCo, or PyBulletSim-to-real transfer techniques3D perception: point clouds, depth estimation, or 3D scene understandingFamiliarity with ROS 2Research publications or competition results in robotics / MLCompensation & BenefitsEquity participation — meaningful stake in an early-stage companyCash compensation details to be discussed directly during the interview processSmall team environment with high ownership and direct impactLocationThis 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.