About the Role
This is an entry-level research and engineering role at an early-stage industrial robotics startup, where you will apply state-of-the-art machine learning directly to a physical robotic work cell built for demanding manufacturing tasks like surface finishing, welding, and coating. You will sit on a small, ambitious team in Munich and own the full loop from research to real-world factory deployment.
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 sensor data including cameras, force/torque sensors, and depth inputs.
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Experiment with reinforcement learning and imitation learning for robot control.
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Integrate trained AI models into a ROS 2 robotics stack.
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Run rigorous experiments, measure results carefully, and iterate quickly.
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Bridge the gap between research findings and practical deployment on factory hardware.
What We're Looking For
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BSc or MSc in Robotics, Computer Science, AI/ML, or a closely related field, or equivalent hands-on experience.
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0 to 3 years of experience, including new graduates with strong fundamentals and relevant project or thesis work.
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Proficiency in Python and experience with PyTorch or TensorFlow.
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Background touching robot learning, computer vision, or ML for physical systems; a pure NLP or LLM focus is not a strong fit.
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Genuine enthusiasm for working with physical systems and deploying AI on real robots.
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Eligible to work in Germany and able to commit to full-time, on-site work in Munich.
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Fluent English; German is a plus.
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Familiarity with ROS or ROS 2 is a bonus.
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Experience with sim-to-real transfer or physics simulators such as Isaac Sim, PyBullet, or MuJoCo is a bonus.
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Exposure to 3D perception, point clouds, or depth estimation is a bonus.
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Research publications or open-source contributions in robotics or ML are a bonus.
Compensation & Benefits
Equity participation is included. Visa sponsorship is not available for this role.
Location
On-site, five days per week in Munich, Bavaria, Germany.
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