Public summary
A Munich-based company specializing in industrial automation is offering an internship focused on teleoperating a semi-humanoid robot and evaluating training data to teach robotic picking and placing tasks. This role involves operating teleoperation devices, reviewing data quality, collaborating on method improvements, and adhering to site safety protocols. The position is ideal for master's students in Robotics, Machine Learning, Computer Science, or related fields seeking practical experience in an international, interdisciplinary environment.
Location and work setup
- Location
- Munich
- Remote status
- On-site
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Set up and operate a semi-humanoid robot using teleoperation devices to record training demonstrations. Evaluate recorded data for quality and usability, flagging any issues. Collaborate with AI and software teams to improve data collection and training methods. Ensure safe robot operation following site safety protocols. Maintain clear documentation of sessions, data quality findings, and process changes for traceability.
Qualifications
Currently enrolled in a Master's program in Robotics, Machine Learning, Computer Science, Mechanical Engineering, or a related technical discipline. Strong Python skills and familiarity with machine learning libraries. Basic understanding of machine learning principles with hands-on experience in PyTorch. Beneficial to have experience with robot learning workflows, teleoperation systems, and learning methods such as imitation learning or behavioral cloning. Interdisciplinary experience across hardware, software, and AI is a plus.