Overview
ABOUT THE ROLE
Full job description
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
- Research and evaluate ML models for robot perception and task understanding.
- Apply computer vision and deep learning to sensor data including cameras, force/torque sensors, and depth inputs.
- Experiment with reinforcement learning and imitation learning for robot control.
- Integrate trained AI models into a ROS 2 robotics stack.
- Run rigorous experiments, measure results carefully, and iterate quickly.
- Bridge the gap between research findings and practical deployment on factory hardware. WHAT WE'RE LOOKING FOR
- BSc or MSc in Robotics, Computer Science, AI/ML, or a closely related field, or equivalent hands-on experience.
- 0 to 3 years of experience, including new graduates with strong fundamentals and relevant project or thesis work.
- Proficiency in Python and experience with PyTorch or TensorFlow.
- Background touching robot learning, computer vision, or ML for physical systems; a pure NLP or LLM focus is not a strong fit.
- Genuine enthusiasm for working with physical systems and deploying AI on real robots.
- Eligible to work in Germany and able to commit to full-time, on-site work in Munich.
- Fluent English; German is a plus.
- Familiarity with ROS or ROS 2 is a bonus.
- Experience with sim-to-real transfer or physics simulators such as Isaac Sim, PyBullet, or MuJoCo is a bonus.
- Exposure to 3D perception, point clouds, or depth estimation is a bonus.
- 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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