Senior AI Research Engineer (m/w/d) Foundation Models

Das ist der Job

Essential Skills Education: Master’s or PhD in Computer Science, Robotics, AI, or a related technical field.

Darum lohnt es sich

Learning Pipelines: Own end-to-end learning pipelines from data assumptions through training, evaluation, and controlled real-world validation in collaboration with robotics teams.

Integration Collaboration: Collaborate closely with robotics, perception, and platform teams to ensure learned policies align with action spaces, timing constraints, and system-level requirements.

ML Engineering: Strong Python skills and hands-on experience with modern ML frameworks such as PyTorch or TensorFlow, including implementation of training loops and experimentation workflows. 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 facilites 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. Become part of this team and shape the future of robotics with us!

About the role The AI Research Division of Agile Robots is looking for a Senior AI Research Engineer focused on learning-based robot policies and multimodal foundation models for embodied intelligence.

The role centers on designing representations and objectives that map perception and language to robot behavior under real-world uncertainty, with ownership of model-level decisions and behavioral outcomes.

Your Responsibilities Policy Design: Design and train vision- and language-conditioned robot policies using imitation learning, diffusion-based approaches, or transformer architectures, with clear linkage between representation, objective, and resulting behavior.

Model Architecture: Define and adapt model architectures, inductive biases, and training objectives for embodied learning under uncertainty beyond standard fine-tuning workflows.

Behaviour Analysis: Analyze policy behavior and failure modes under distribution shift, embodiment constraints, and real-world noise, and refine models to improve robustness and generalization.

Research Awareness: Track and critically evaluate advances in robot learning, multimodal foundation models, and vision-language-action systems, assessing their applicability to embodied intelligence.

Robot Learning: Hands-on experience designing and training learning-based policies for robotics using imitation learning, reinforcement learning, or hybrid approaches. Multimodal Models: Experience adapting or designing transformer-based, diffusion-based, or vision-language-action models for embodied tasks.

Modelling Depth: Ability to reason about representations, objectives, inductive biases, and behavioral trade-offs, including explaining why a model is structured in a particular way.

Behavioural Ownership: Demonstrated responsibility for model-level outcomes, including debugging policy failures and improving robustness in real-world or semi-real environments. Robotics Context: Understanding of how learned policies interact with perception outputs, action spaces, and physical constraints in robotic systems.

Beneficial Skills Large-Scale Training: Experience with distributed training, GPU clusters, or large-scale experimentation workflows. Predictive Components: Experience leveraging predictive or world-model elements to improve policy robustness or long-horizon behavior.

Embodied Evaluation: Experience validating learned policies on real robotic systems or in high-fidelity simulation with sim-to-real considerations. Research Output: Publications, patents, or deployed systems in robotics, multimodal learning, or embodied AI.

What we offer Dynamic high-tech company combined with financial soundness and world class investors. Lots of development opportunities in the context of our continued growth. Challenging tasks and impactful projects alongside experts that enable professional and personal growth.

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. We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability.