About the RoleAn 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- Research and evaluate ML models for robot perception and task understanding
- Apply computer vision and deep learning to multi-modal sensor data (cameras, force/torque sensors, depth)
- Experiment with reinforcement learning and imitation learning for robot control
- Integrate AI models into the ROS 2 robotics stack
- Run rigorous experiments and iterate rapidly on results
- Bridge the gap between research prototypes and real-world factory deployment
What We're Looking ForRequired:- Bachelor's or Master's degree in Robotics, Computer Science, AI, or a closely related field
- 0-3 years of hands-on experience in robotics, computer vision, or AI research
- Proficiency in Python and at least one deep learning framework (PyTorch or TensorFlow)
- Experience with ROS 2
- Experience with computer vision and sensor data processing for robotics applications
- Practical knowledge of reinforcement learning and/or imitation learning for robot control
- Ability to collaborate across research and real-world deployment in a robotics context
- Legal right to work in Germany - visa sponsorship is not available
- Based in Munich or willing to relocate (role is fully on-site)
Nice to Have:- Experience with sim-to-real tools such as Isaac Sim, MuJoCo, or PyBullet
- Strong fundamentals demonstrated through research publications, a thesis, internships, or open-source contributions in robotics or AI
- Familiarity with 3D perception, point clouds, or depth estimation
Compensation & Benefits- Equity participation offered
- Cash compensation to be discussed directly - competitive for an early-stage startup
LocationOn-site in
Munich, Germany. Relocation expected. No remote or hybrid arrangements available for this role.
