Machine Learning Engineer - Language Models and Agentic AI for Scientific Imaging

We are seeking a highly motivated individual to join an interdisciplinary team at the interface of natural language processing, computer vision, machine learning, and scientific imaging. Your work will focus on bringing modern foundation model technologies into imaging workflows and developing AI systems that make advanced image analysis methods more accessible to researchers. Responsibilities include: Developing and evaluating AI systems based on Large Language Models (LLMs), Vision-Language Models (VLMs), and multimodal foundation models Designing agentic workflows that automate complex image analysis tasks Building systems that can autonomously select, configure, and execute image analysis tools and pipelines Integrating state-of-the-art computer vision frameworks like foundation models into AI-assisted workflows Collaborating with and supporting researchers across the Helmholtz Association to identify high-impact use cases and develop tailored solutions Developing sustainable open-source software and reusable tools for the Helmholtz community Staying at the forefront of developments in foundation models, agentic AI, and scientific machine

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