Robot Learning Engineer

About the role

ABOUT THE ROLE

Join a team building intelligent robotic systems for demanding industrial applications. In this entry-level role, you will apply machine learning to physical robots, helping translate research in perception and robot learning into practical factory deployment.

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 rigorous experiments and iterate on approaches using physical robotic systems.

- Connect research results to real-world industrial deployment.

WHAT WE'RE LOOKING FOR

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

- A BSc or MSc in robotics, computer science, AI/ML, or a related field, or equivalent practical experience.

- Proficiency in Python and experience with PyTorch or TensorFlow.

- Computer vision or robot-learning experience 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.

- Experience with 3D perception, point clouds, or depth estimation is beneficial, as are robotics or machine learning publications and open-source contributions.

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.

See the posting on Clera's site