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EmploymentFull-time
Overview
ABOUT THE ROLE
Full job description
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.
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