Machine Learning Engineer (Federated AI, Healthcare)

About the role

CERN is looking for a Machine Learning Engineer to help shape healthcare AI, developing federated AI solutions that protect sensitive data without moving it. The role focuses on CAFEIN, CERN's federated AI platform powering European healthcare initiatives such as UMBRELLA and AIM-SAFE, designing algorithms and secure distributed AI systems that let models learn across institutions while keeping data local.

Key responsibilities

• Develop and test federated learning software and algorithms.
• Implement and evaluate privacy-preserving techniques, including differential privacy and homomorphic encryption.
• Build tools to optimise data ingestion and assess the quality of data and images.
• Design and run machine-learning experiments in Python with TensorFlow, PyTorch or scikit-learn.
• Analyse data with statistics and visualisation for exploratory data analysis.
• Benchmark and optimise federated learning for utility, communication efficiency, energy use and scalability.
• Design and deploy IoT-based federated learning architectures.

Required profile

• Master's degree or equivalent experience in Machine Learning, Computer Science, Data Science or a related field.
• Demonstrated experience developing and deploying federated learning solutions in real-world environments.
• Proven experience coordinating or technically leading machine-learning deployments.
• Spoken and written English, with a commitment to learn French.

Required skills

• Federated learning techniques, including aggregation algorithms, communication and network architecture, and security and privacy features.
• Hands-on experience with network security (certificates, encryption, access control, authorisation, authentication).
• Git and GitLab.
• Python and deep learning frameworks such as TensorFlow, Keras, PyTorch, JAX or scikit-learn.
• Software life-cycle tools, testing, optimisation, secure software development and administration of computing systems.

What we offer

• Limited-duration contract of 3 years, subject to conditions, with possibility of extension up to 8 years and eligibility for an indefinite contract.
• Hybrid working, 40 hours per week, job grade 6-7.
• Competitive tax-free salary increasing with experience, 30 days of paid leave plus 2 weeks annual closure.
• Health insurance coverage for yourself, spouse and children, and membership of the CERN Pension Fund.
• Family, child and infant allowances, and a relocation package depending on circumstances.