Robot Learning Engineer

About the Role

This is an entry-level research and engineering role at a small, ambitious industrial robotics startup in Munich. You will apply state-of-the-art machine learning directly to a real robotic work cell, tackling some of the hardest automation challenges in manufacturing, including surface finishing, welding, and coating. It is a rare opportunity for a hungry new graduate to ship AI on real 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, including cameras, depth sensors, and force/torque 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 prototypes and real-world factory deployment.

What We're Looking For

• 0 to 3 years of experience, including new graduates with strong fundamentals.
• BSc or MSc in Robotics, Computer Science, AI/ML, or a related field, or equivalent practical experience.
• Background directly relevant to robot learning, such as robotics, computer vision, or ML for physical systems.
• Strong proficiency in Python with hands-on experience in PyTorch or TensorFlow.
• Exposure to computer vision or robot learning, whether through coursework, a thesis, an internship, or open-source work.
• Rigorous experimental mindset and genuine enthusiasm for deploying AI on physical systems.
• Fluent English; German is a bonus.
• Familiarity with ROS or ROS 2 is a plus.
• Experience with sim-to-real transfer or physics simulators such as Isaac Sim, PyBullet, or MuJoCo is a plus.
• Knowledge of 3D perception, point clouds, or depth estimation is a plus.
• Research publications or open-source contributions in robotics or ML are a plus.

Compensation & Benefits

Equity participation is included. Visa sponsorship is not available; candidates must already be eligible to work in Germany.

Location

On-site, five days per week in Munich, Bavaria, Germany. Remote work is not available for this role.