Robot Learning Engineer - #2675308

About The Role

This is an entry-level research engineering role at an early-stage industrial robotics startup, sitting at the intersection of machine learning and real factory hardware. You'll apply state-of-the-art perception, reinforcement learning, and imitation learning to a physical robotic work cell built to automate demanding industrial tasks — surface finishing, welding, and coating. It's a rare opportunity for a hungry new grad to ship ML research directly onto production robots.

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.
• Design and run experiments with reinforcement learning and imitation learning for robot control.
• Integrate trained AI models into a ROS 2–based robotics software stack.
• Iterate rapidly on experiments and translate research findings into real-world factory deployments.
  
  

What We're Looking For

• BSc or MSc in Robotics, Computer Science, AI/ML, or a related field — or equivalent hands-on experience.
• 0–3 years of experience; strong fundamentals matter more than seniority.
• Proficiency in Python and experience with PyTorch or TensorFlow.
• Exposure to computer vision and/or robot learning (thesis, internship, open-source, or research counts).
• Familiarity with robotics simulation environments (e.g. Isaac Sim, MuJoCo, PyBullet) is a plus.
• Experience with sim-to-real transfer, 3D perception, or point clouds is a bonus.
• Research publications or coursework in RL or imitation learning are welcome signals.
• Eligible to work in Germany and able to work on-site in Munich — no visa sponsorship available.
  
  

Location

On-site in Munich, Bavaria, Germany. This role is fully on-site; remote work is not available. Candidates must already be eligible to work in Germany — visa sponsorship is not offered.