Working Student (m/f/d) Simulation-Based Fine-Tuning & Benchmarking for VLA-Models

Working Student, Part-time · Germany, Munich (HQ)

About the role

The AI Research Division of Agile Robots is looking for a Working Student (m/f/d) Simulation-Based Fine-Tuning & Benchmarking for VLA-Models. You will support research on simulation-based fine-tuning and benchmarking of Vision-Language-Action (VLA) models for robotic tasks. The role focuses on building reliable evaluation workflows in simulation, running controlled experiments, and improving understanding of model behaviour across tasks and settings. You will work closely with senior AI engineers on research infrastructure and experimentation for embodied AI.

Your Responsibilities

Benchmarking: Develop and maintain simulation-based benchmarks for evaluating VLA models across robotic tasks.
Model Integration: Implement modular interfaces between VLA models and simulation environments.
Experiment Design: Design and run controlled experiments, including hyperparameter studies and ablations.
Fine-Tuning: Support fine-tuning of VLA models in simulation and analyze training behaviour and learning dynamics.
Result Tracking: Build and maintain pipelines for logging, organizing, and comparing experimental results.
Failure Analysis: Analyze generalization gaps, failure cases, and behavioural differences across models and training setups.

Essential Skills

Enrollment: Currently enrolled in a Master's program or an advanced Bachelor's program in Computer Science, Machine Learning, Robotics, or a related technical field.
Python: Strong programming skills in Python.
PyTorch: Hands-on experience with PyTorch for training and experimentation.
ML Workflows: Good understanding of deep learning training workflows, experimental design, and model evaluation.
Analysis: Ability to interpret experimental results and reason about model behaviour in a structured way.
Robot Learning: Exposure to reinforcement learning, imitation learning, or robot-learning workflows.
Problem Solving: Strong analytical thinking and a structured approach to technical problems.

Beneficial Skills

Embodied Models: Familiarity with Vision-Language-Action models, multimodal learning, or embodied AI.
Simulation Workflows: Experience with robotics simulation environments such as Isaac Gym, MuJoCo, or Habitat.
Experimentation: Familiarity with hyperparameter optimization, ablation studies, or large-scale experiment workflows.
Research Tooling: Experience with experiment tracking tools such as Weights & Biases and interest in model robustness or generalization.

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.

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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.

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Come join the Agile Robots team

Thank you for your interest in Agile Robots SE. Please fill out the following short form - especially the sections marked with *. Should you have difficulties with the upload of your data, please send an email to jobs@agile-robots.com