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

• 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 learning, * Opportunity to work at the forefront of AI, foundation models, and scientific imaging
• Close integration with HI and the Helmholtz Foundation Model Initiative
• Collaboration with leading researchers across multiple scientific domains
• Access to cutting-edge compute infrastructure and large-scale AI resources

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., We are looking for a highly motivated and creative researcher or engineer with a strong interest in both computer vision and modern AI systems.

You should have:

• A master's degree or PhD in computer science, data science, physics, mathematics, or a related discipline
• Strong programming skills in Python and experience with modern machine learning frameworks such as PyTorch
• Experience in computer vision and deep learning
• Hands-on experience with Large Language Models (LLMs), Vision-Language Models (VLMs), multimodal foundation models, or agentic AI systems
• Experience with model evaluation, benchmarking, and experimental design
• Familiarity with open-source software development and software engineering best practices
• Excellent communication skills and enthusiasm for interdisciplinary collaboration

Pulled from the full job description

• Flexible schedule, Excellent framework conditions: state-of-the-art equipment and opportunities for international networking at the highest level

Das Deutsche Krebsfor­schungs­zentrum (DKFZ) ist das größte biomedi­zinische Forschungs­zentrum Deutschlands. Mit über 3.000 Beschäf­tigten betrei­ben wir ein umfang­reiches wissen­schaftliches Pro­gramm auf dem Gebiet der Krebs­forschung.