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CERN
Machine Learning Engineer
Geneva, Switzerland · Hybrid · Contract · Mid level
About the role
Develop and deploy federated AI solutions to advance healthcare while ensuring data privacy. Work on CERN's federated AI platform CAFEIN® to enable secure collaboration across institutions.
What you’ll do
• Develop and test federated learning software and algorithms. • Implement privacy-preserving techniques like differential privacy. • Design and run machine-learning experiments using Python. • Analyse data using statistical methods and visualization. • Design and deploy IoT-based federated learning architectures.
What you’ll bring
• Master's degree or equivalent in Machine Learning or related field. • Experience with federated learning solutions and privacy features. • Proficiency in network security and software lifecycle tools. • Strong programming skills in Python and deep learning frameworks. • Work authorization for CERN Member or Associate Member States.
Life at CERN
Competitive tax-free salary with annual increases, 30 days paid leave plus 2 weeks closure, comprehensive health insurance, pension fund membership, family allowances, and relocation package. Contract may extend up to 8 years with indefinite tenure eligibility.
About CERN
CERN is the European Organization for Nuclear Research, advancing fundamental physics through large-scale scientific instruments and international collaboration.