Entry-Level Robot Learning Engineer

About the Role

Join a small industrial robotics team applying machine learning to real-world robotic work cells. In this entry-level research role, you will develop and evaluate approaches in perception, reinforcement learning, imitation learning, and sim-to-real transfer, helping bring intelligent automation to challenging industrial tasks.

What You'll Do

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

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

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

• Integrate AI models into a ROS 2 robotics stack.

• Run rigorous experiments, analyze results, and iterate on models and system performance.

• Help bridge research prototypes and deployment on real factory hardware.

What We're Looking For

• Approximately 0 to 3 years of relevant experience, with a background in robot learning, robotics, computer vision, or machine learning for physical systems.

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

• Proficiency in Python and experience with a deep-learning framework such as PyTorch or TensorFlow.

• Exposure to computer vision or robot learning, and familiarity with ROS or ROS 2.

• Fluent English; German is a plus. Familiarity with simulation tools, sim-to-real transfer, 3D perception, point clouds, or depth estimation is helpful. Research publications or open-source contributions are also valued.

Compensation & Benefits

Equity participation is available. Visa sponsorship is not available, and candidates must be eligible to work in Germany.

Location

On-site, five days per week in Munich, Bavaria, Germany.