About The Role

The AI team at Agile Robots is seeking experienced Senior AI/DL Engineers with a proven track record in building, training, and deploying large-scale AI models. The ideal candidate should have a strong background in foundational models (LLMs, VLMs, VLAs) and demonstrated success in applying these technologies in Industrial or Research settings.

Your Responsibilities

Collaboration: Work with cross-functional teams to translate functional and business requirements into scalable architectures and deployable solutions.
Ownership: Take technical ownership of the design, development, and deployment of Robot Learning approaches using Foundation Models.
Policy Design: Design and implement robot policies that are vision- and/or language-conditioned.
Training: Drive large-scale training and fine-tuning of deep learning models for robot learning in complex, real-world environments.
Integration: Evaluate and integrate developed solutions and algorithms, bringing them into production-ready systems.
Research: Stay up-to-date with the latest advancements in robotics, deep learning, and computer vision.
Travel: Periodically travel to partners in the US, Europe, or Asia.

Essential Skills

Education: Master's or PhD in Computer Science, Robotics, AI, or a related field.
Experience: 3+ years in AI, Deep Learning, or Robotics AI, with hands-on model development and deployment.
Learning Methods: Practical experience with Imitation Learning (e.g., behavior cloning, decision transformers, diffusion policies) and Transformer architectures (e.g., GPT-3/4, BERT, T5, Flamingo, VILA, etc.).
Technical Skills: Proficiency in Python ML stack (PyTorch/TensorFlow, data analysis/visualization tools).
Domain Knowledge: Strong background in computer vision, NLP, and multimodal learning applied to robotics.
Prototyping & Delivery: Ability to rapidly prototype, debug, and iterate solutions; track record of research or applied outputs (publications, patents, or deployed products).

Beneficial Skills

Distributed Training: Experience with large-scale GPU clusters and scheduling frameworks (e.g., Slurm, Kubernetes).
Cloud Platforms: Knowledge of cloud ML services (AWS, GCP, Azure).
Interpretability: Familiarity with explainable AI and model interpretability in multimodal systems.
Deployment: Experience integrating world models with imitation learning for long-horizon robot policies; strong software engineering skills with Git, Docker, APIs, and containerization.

What We Offer

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.
Lots of development opportunities in the context of our continued growth.
Challenging tasks and impactful projects alongside experts that enable professional and personal growth.
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.

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