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
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Research and evaluate ML models for robot perception and task understanding
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Apply computer vision and deep learning to multi-modal sensor data (cameras, force/torque sensors, depth)
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Experiment with reinforcement learning and imitation learning for robot control
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Integrate AI models into the ROS 2 robotics stack
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Run rigorous experiments and iterate rapidly on results
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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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Bachelor's or Master's degree in Robotics, Computer Science, AI, or a closely related field
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0–3 years of hands-on experience in robotics, computer vision, or AI research
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Proficiency in Python and at least one deep learning framework (PyTorch or TensorFlow)
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Experience with ROS 2
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Experience with computer vision and sensor data processing for robotics applications
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Practical knowledge of reinforcement learning and/or imitation learning for robot control
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Ability to collaborate across research and real-world deployment in a robotics context
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Legal right to work in Germany — visa sponsorship is not available
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Based in Munich or willing to relocate (role is fully on-site)
Nice to Have:
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Experience with sim-to-real tools such as Isaac Sim, MuJoCo, or PyBullet
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Strong fundamentals demonstrated through research publications, a thesis, internships, or open-source contributions in robotics or AI
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Familiarity with 3D perception, point clouds, or depth estimation
Compensation & Benefits
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Equity participation offered
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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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