(Senior) AI/DL Engineer (m/f/d) Foundational Models

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.