Working Student Robot Teaching Solutions & Learning Signal Evaluation

Beschreibung

Job Zusammenfassung In dieser Position analysierst du die Qualität von Lehrdaten, führst Experimente zur Roboterschulung durch und pflegst Pipelines zur Reproduzierbarkeit, während du Demonstrationen humanoider Roboter vorbereitest und ausführst. Job Zusammenfassung In dieser Position analysierst du die Qualität von Lehrdaten, führst Experimente zur Roboterschulung durch und pflegst Pipelines zur Reproduzierbarkeit, während du Demonstrationen humanoider Roboter vorbereitest und ausführst. Deine Rolle im 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. Unsere Erwartungen an dich Qualifikationen 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. Familiarity with imitation learning, behavioral cloning, or sequence modeling approaches applied to robotic or embodied tasks. Erfahrung 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. Unser Angebot 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. Benefits Gesundheit, Fitness & Fun 🎳 Team Events Work-Life-Integration 🚌 Gute Anbindung Themen mit denen du dich im Job beschäftigst Machine Learning AI Robotics Metadaten Level: Junior Job Feld: Software, Data Anstellung: Teilzeit Vertragsart: Praktikum / Schulpraktikum Arbeitsmodell: Onsite Unternehmenstyp: Etablierte Firma Branche: Elektronik, Automatisation Ort: München | Deutschland

Tech Stack