We are looking for an AI Software Engineer with a passion for tackling medical problems to help us create real-world AI tools in the medical field, particularly in Radiology and Cancer research. You will join a group of Medical AI researchers in the Krauthammer Lab and will have the opportunity to collaborate with multiple research teams at the University Hospital of Zurich and the University of Zurich.

You will be someone who loves to code and build high-performance, working systems. You are used to translating research breakthroughs into reliable, production-grade software. You will have experience with the software development life cycle, with a strong emphasis on implementation, deployment, testing, and continuous release. You will also have extensive knowledge and experience in LLMs.

You can see more about who we are and how we work here: krauthammerlab.ch/

In this position, you will be working at the heart of our Medical Language Technology Team, helping us work on the automatic generation of medical reports from medical images and convert unstructured medical text to structured information. Your primary focus will be on creating high-quality, production-ready code and taking end-to-end ownership of our machine learning and deployment pipelines. This would include the following:

• Design, implement, and deploy scalable Multimodal Multilingual AI algorithms and models into production environments.
• Architect and optimize models for reliable deployment in a web application context, turning research prototypes into robust, working solutions.
• Develop and maintain robust, high-quality production pipelines (MLOps).
• Contribute to a high-quality codebase, ensuring comprehensive testing and documentation.
• Adapting and integrating "off-the-shelf" solutions for our research projects.
• Pre-processing, post-processing, and annotation of data to support production systems.
• Develop and train large multimodal AI models for pressing medical data.

The successful applicant will contribute to projects related to work, such as:

• RadVLM: Conversational Vision-Language Model for Radiology.
• RADICAL: Radiology AI-Driven Clinical Decision-Making with Multi-Modal Exploration

MINIMUM QUALIFICATIONS

Education:

• M.Sc. in Machine Learning, Computer Science, Applied Mathematics, Computational Science, or a related field, or equivalent experience

Experience

• At least +3 years of experience in Machine Learning, Computational Linguistics, and/or other relevant fields.
• Expertise in large AI models (i.e., LLM, VLM, etc.), computational methods, data analysis, software and algorithm development, and modeling.
• Demonstrated ability to transition research models into scalable, production systems.
• Capable of building, deploying, and maintaining user-facing APIs that expose a range of AI features as a service.
• Expert-level coding skills in Python, with a strong passion for the software development and MLOps side of AI.
• Extensive experience in using modern deep learning frameworks (PyTorch, Hugging Face) and proficiency with software development and deployment tools (e.g., Git, Linux, containerization via Docker/Singularity, and GPU cluster management like Slurm).
• Ability to do original and outstanding research in computational sciences and its relevant field.
• Ability to work well independently as well as in a collaborative team environment, in-person as well as via online channels.
• Ability to handle multiple projects at the same time.
• Ability to present research and other types of work, internally and externally.

Information on your application

REQUIRED APPLICATION MATERIALS

• CV with publication list or sample project descriptions
• If you are selected for the second interview, two (2) letters of recommendation should be submitted confidentially by the letter writers to michael.krauthammer@uzh.ch