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
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Research, evaluate, and prototype ML models for robot perception and task understanding
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Apply computer vision and deep learning to multi-modal sensor data (RGB cameras, depth sensors, force/torque)
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Design and run experiments with reinforcement learning and imitation learning for robot control
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Integrate trained AI models into a ROS 2-based robotics stack
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Iterate rapidly on experiments and maintain rigorous evaluation practices
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Bridge the gap between research prototypes and real-world factory deployment
What We're Looking For
Required
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BSc or MSc in Robotics, Computer Science, AI, or a closely related field
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Strong Python skills and hands-on experience with PyTorch or TensorFlow
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Practical exposure to computer vision and/or robot learning (thesis, internship, open-source, or research project)
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Genuine interest in physical systems and real-world robotics — not purely software or NLP backgrounds
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0–3 years of professional or research experience
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Eligible to work in Germany and able to work on-site in Munich (no visa sponsorship available)
Nice to Have
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Experience with robot simulation environments: Isaac Sim, MuJoCo, or PyBullet
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Sim-to-real transfer techniques
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3D perception: point clouds, depth estimation, or 3D scene understanding
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Familiarity with ROS 2
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Research publications or competition results in robotics / ML
Compensation & Benefits
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Equity participation — meaningful stake in an early-stage company
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Cash compensation details to be discussed directly during the interview process
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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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