Robot Learning Engineer

About the Role

Join an industrial robotics team applying machine learning to real-world manufacturing tasks. This entry-level role combines research and hands-on experimentation to bring robot perception and learning methods into physical robotic systems.

What You'll Do

• Research and evaluate machine learning models for robot perception and task understanding.

• Apply computer vision and deep learning to camera, force and torque, and depth sensor data.

• Experiment with reinforcement learning and imitation learning for robot control.

• Integrate AI models into a ROS 2 robotics stack.

• Run experiments, analyze results, and iterate on approaches.

• Help bridge research prototypes and deployment in industrial environments.

What We're Looking For

• Approximately 0 to 3 years of relevant experience, including research, internships, or practical projects.

• A bachelor's or master's degree in robotics, computer science, AI/ML, or a related field, or equivalent practical experience.

• Proficiency in Python and experience with PyTorch or TensorFlow.

• Experience with computer vision or robot learning involving physical robotic systems.

• Fluent English; German is a plus.

• Familiarity with ROS or ROS 2, physics simulation tools such as Isaac Sim, PyBullet, or MuJoCo, and sim-to-real transfer is beneficial.

• Exposure to 3D perception, point clouds, or depth estimation is beneficial. Research publications or open-source contributions in robotics or machine learning are also welcome.

Compensation & Benefits

Equity participation is available. Visa sponsorship is not available.

Location

On-site, five days per week in Munich, Bavaria, Germany. Candidates must be eligible to work in Germany.