Working Student (m/f/d) Robot Teaching Solutions & Learning Signal Evaluati at Agile Robots SE

Munich, Bavaria, Germany -

Full Time

Start Date

Immediate

Expiry Date

10 Aug, 26

Salary

0.0

Posted On

12 May, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PyTorch, ROS/ROS2, Git, Ubuntu, Deep Learning, Robot Learning, Imitation Learning, Behavioral Cloning, VLA Models, Scientific Computing Libraries, Experiment Design, Configuration Management, Teleoperation, Humanoid Robotics, Model Evaluation

Industry

Automation Machinery Manufacturing

Description

About the role The AI Research Division of Agile Robots is looking for a Working Student (m/f/d) Robot Teaching Solutions & Learning Signal Evaluation. In this role, you will analyze the structure and quality of teaching data generated through teleoperation workflows, run experiments to assess whether captured demonstrations produce learnable behavior, and maintain the pipelines that make this work reproducible. Your Responsibilities Demo Support: Prepare, set up, and execute humanoid robot demonstrations, covering hardware bring-up, calibration, and safety checks. VLA Finetuning: Deploy and validate VLA models on real robotic systems and in simulation, running fine-tuning experiments and tracking performance metrics. Experiment Execution: Execute evaluation runs, collect and organize results, and support systematic comparison across data configurations, training setups, and model behaviors. Team Iteration: Work with robotics, ML, and software teams to identify and address gaps in model capabilities and demonstration reliability. Reproducibility: Maintain experiment reproducibility through configuration management, versioning, and checkpointing, and document results in clear technical reports. Essential Skills Enrollment: Currently enrolled in a Master's program in Computer Science, Machine Learning, Robotics, or a closely related technical field. Python: Solid Python skills and working familiarity with scientific computing libraries. Model Training: Hands-on experience training deep learning models using PyTorch, including working understanding of training workflows, learning dynamics, and model evaluation. Experimentation: Ability to design and execute structured experiments, interpret results, and reason systematically about model behavior. Development Environment: Practical experience with Git-based development workflows and Ubuntu environments including ROS/ROS2. Beneficial Skills Robotics Context: Prior exposure to robot learning workflows, demonstration data, or teleoperation systems. Learning Methods: Familiarity with imitation learning, behavioral cloning, or sequence modeling approaches applied to robotic or embodied tasks. Research Tooling: Experience with experiment tracking tools such as Weights & Biases or reproducibility tooling such as Docker. Your Profile 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.

Responsibilities

Analyze teaching data from teleoperation workflows and execute experiments to validate VLA models on humanoid robots. Maintain reproducible pipelines through configuration management and document results in technical reports.