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Robot Learning Engineer

Robot Learning Engineer

Department: Engineering

Location: Munich

Employment Type: FullTime

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.

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