Job Description

Hands-on ML engineering in CERN’s healthcare AI team (CAFEIN). Responsibilities include designing and running ML experiments in Python (PyTorch, TensorFlow, JAX, scikit-learn), deploying models on distributed infrastructure, and ensuring privacy and security (differential privacy, encryption, access control). Work includes building data ingestion and data quality tools for medical images and benchmarking state-of-the-art methods for accuracy, efficiency, and scalability. The role requires production ML experience with Python and the listed frameworks, Git/GitLab, and an understanding of security in distributed systems. Experience with federated or distributed learning, or with healthcare data, is a big plus. Master’s in ML/CS/Data Science or equivalent; English required with a commitment to learning French. Eligibility: open to nationals of CERN Member and Associate Member States. Contract is 3 years (extendable up to 8) with relocation package, health insurance and pension fund, 30 days of leave plus a two-week annual closure, and potential for an indefinite position.