Job
- Level
- Junior
- Job Field
- Software, Data
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you analyze the quality of teaching data, conduct experiments for robot training, and maintain pipelines for reproducibility while preparing and executing humanoid robot demonstrations.
Job Technologies
Your role in the team
- 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.
- Prepare, set up, and execute humanoid robot demonstrations, covering hardware bring-up, calibration, and safety checks.
- Deploy and validate VLA models on real robotic systems and in simulation, running fine-tuning experiments and tracking performance metrics.
- Execute evaluation runs, collect and organize results, and support systematic comparison across data configurations, training setups, and model behaviors.
- Work with robotics, ML, and software teams to identify and address gaps in model capabilities and demonstration reliability.
- Maintain experiment reproducibility through configuration management, versioning, and checkpointing, and document results in clear technical reports.
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Our expectations of you
Qualifications
- Currently enrolled in a Master's program in Computer Science, Machine Learning, Robotics, or a closely related technical field.
- Solid Python skills and working familiarity with scientific computing libraries.
- Ability to design and execute structured experiments, interpret results, and reason systematically about model behavior.
- Prior exposure to robot learning workflows, demonstration data, or teleoperation systems.
- Vertrautheit mit Imitationslernen, behavior cloning oder Sequenzmodellierungsansätzen, die auf robotische oder verkörperte Aufgaben angewendet werden.
Experience
- Hands-on experience training deep learning models using PyTorch, including working understanding of training workflows, learning dynamics, and model evaluation.
- Practical experience with Git-based development workflows and Ubuntu environments including ROS/ROS2.
- Experience with experiment tracking tools such as Weights & Biases or reproducibility tooling such as Docker.
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What we offer
- Practical learning opportunities to complement your studies.
- Dynamische High-Tech-Unternehmen kombiniert mit finanzieller Solidität und Weltklasse-Investoren.
- 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.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Agile Robots Ag
Agile Robots SE, founded by leading robotics researchers, focuses on the development of AI-controlled robots and has established itself as a pioneer in automation.
Description
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Electronics, Automatization
Working Student Robot Teaching Solutions & Learning Signal Evaluation
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
