The AI Teams at Agile Robots are looking for an Intern (m/f/d) Robot Learning , who will help train and evaluate machine-learning models for real robots during a six-month student internship .
This posting is for our intern talent pool and serves as an entry point to several of our AI teams . We review applications on a rolling basis and contact you when an internship matching your profile becomes available, typically several months before its start date. We match you with a team and a project during the interview process, and your exact responsibilities depend on that match .
Possible Responsibilities
- Agentic Planning: Build and test systems that use language or vision-language models to plan, sequence, and monitor robot tasks over multiple steps.
- Sim-to-Real Transfer: Apply domain randomization and realism modeling to reduce the gap between simulated and real sensor and actuator data.
- Model Training: Train, fine-tune, or adapt machine-learning models for robot perception, manipulation, or task planning, including adapting an existing model to a specific robot and task.
- Model Evaluation: Design and run experiments in simulation and on real robots to measure where a model works and where it fails, and trace failures to the data, the model, or the setup.
- Data Preparation: Collect, clean, and annotate robot data, including teleoperation demonstrations and experiment records from real hardware.
Essential Skills
- Degree Programme: Enrolled in a Master’s programme in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field.
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