Robot Learning Engineer

About the Role

This is an entry-level research and engineering role at an early-stage industrial robotics startup, where you will apply state-of-the-art machine learning directly to a real robotic work cell automating demanding factory tasks such as surface finishing, welding, and coating. You will work within a small, ambitious team at the intersection of AI research and physical deployment, shipping models onto real hardware in a production environment.

What You'll Do

Research and evaluate ML models for robot perception and task understanding. Apply computer vision and deep learning to sensor data including cameras, force/torque sensors, and depth sensors. Experiment with reinforcement learning and imitation learning for robot control. Integrate AI models into a ROS 2 robotics software 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 welcome. BSc or MSc in Robotics, Computer Science, AI/ML, or a closely 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 and hands-on experience with PyTorch or TensorFlow. Enthusiasm for working with physical systems and deploying AI on real robots. Rigorous experimental mindset with a bias for fast iteration.

Fluent English; German is a plus. Familiarity with ROS or ROS 2 is a bonus. Experience with sim-to-real transfer or physics simulators such as Isaac Sim, PyBullet, or MuJoCo is a bonus.

Familiarity with 3D perception, point clouds, or depth estimation is a bonus. Research publications or open-source contributions in robotics or ML are a bonus. Compensation & Benefits Equity participation is included.

Cash compensation details are available on request. Visa sponsorship is not available; candidates must already be eligible to work in Germany. Location On-site in Munich, Bavaria, Germany, five days per week.

ABOUT THE ROLE

This is an entry-level research and engineering role at an early-stage industrial robotics startup, where you will apply state-of-the-art machine learning directly to a real robotic work cell automating demanding factory tasks such as surface finishing, welding, and coating. You will work within a small, ambitious team at the intersection of AI research and physical deployment, shipping models onto real hardware in a production environment.

WHAT YOU'LL DO

• Research and evaluate ML models for robot perception and task understanding.
• Apply computer vision and deep learning to sensor data including cameras, force/torque sensors, and depth sensors.
• Experiment with reinforcement learning and imitation learning for robot control.
• Integrate AI models into a ROS 2 robotics software 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 welcome.

• BSc or MSc in Robotics, Computer Science, AI/ML, or a closely 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 and hands-on experience with PyTorch or TensorFlow.
• Enthusiasm for working with physical systems and deploying AI on real robots.
• Rigorous experimental mindset with a bias for fast iteration.
• Fluent English; German is a plus.
• Familiarity with ROS or ROS 2 is a bonus.
• Experience with sim-to-real transfer or physics simulators such as Isaac Sim, PyBullet, or MuJoCo is a bonus.
• Familiarity with 3D perception, point clouds, or depth estimation is a bonus.
• Research publications or open-source contributions in robotics or ML are a bonus. COMPENSATION & BENEFITS Equity participation is included. Cash compensation details are available on request. Visa sponsorship is not available; candidates must already be eligible to work in Germany. LOCATION On-site in Munich, Bavaria, Germany, five days per week.