About the role The AI Research Division of Agile Robots is looking for a Working Student(m/f/d) Post-Training, Evaluation and Benchmarking for Robotic Tasks . You will support the development of post-training, evaluation, and benchmarking workflows for learning-based robotic systems. The role focuses on making model behaviour measurable and comparable through structured experiments, reliable data preparation, and evaluation automation.
Your Responsibilities
• Data Analysis: Analyze robotic and learning-related data to understand quality, structure, and failure patterns, and support improvements to data collection workflows.
• Data Preparation: Prepare and organize datasets used for post-training, evaluation, and benchmarking of robotic models.
• Evaluation Design: Help define evaluation setups, benchmarks, and metrics that make model performance measurable across tasks and conditions.
• Experiment Execution: Run evaluation experiments, collect results, and support systematic comparison of models and configurations.
• Automation: Build and maintain Python-based scripts that reduce manual effort in evaluation and benchmarking workflows.
• Documentation: Present results to the team and document setups, observations, and findings in a clear and reproducible way.

Essential Skills
• Enrollment: Currently enrolled in a Bachelor's or Master's program in Computer Science, Robotics, Machine Learning, or a related technical field.
• Python: Strong Python skills and familiarity with common scientific computing libraries such as NumPy.
• Deep Learning: Solid understanding of deep learning fundamentals and familiarity with frameworks such as PyTorch.
• Experimentation: Ability to work in a structured way with experiments, results, and model comparisons.
• Version Control: Practical experience with Git and collaborative development workflows.
• Linux: Comfortable working in Linux-based development environments.
• Communication: Good written and spoken English and the ability to communicate findings clearly.

Beneficial Skills
• Robotics Context: Prior exposure to robotics systems or robot-learning workflows.
• Model Training: Experience training or fine-tuning deep learning models.
• Dataset Formats: Familiarity with robotics dataset structures such as LeRobot.
• Containers: Experience with containerization tools such as Docker.
• Initiative: Ability to work independently, take ownership of tasks, and learn quickly in an evolving research environment.

What we offer
• Practical learning opportunities to complement your studies.
• Dynamic high-tech company combined with financial soundness and world class investors.
• Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.
• Corporate Benefits Program that covers health, mobility and learning with 100 € net per month.
• Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment.

About us Agile Robots SE is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 2300 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly. This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us!We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability.