3 days ago
Geneva, SwitzerlandSenior
Responsibilities
- Develop and test federated learning software and algorithms.
- Implement and evaluate privacy-preserving techniques including differential privacy and homomorphic encryption.
- Develop tools for data ingestion optimization and data and image quality assessment.
- Design and run machine-learning experiments using Python and machine-learning libraries.
- Analyze data using statistical methods and visualization for exploratory data analysis.
- Implement and benchmark machine-learning methods while optimizing federated learning for utility, communication efficiency, energy use, and scalability.
- Design and deploy IoT-based federated learning architectures.
- Coordinate or technically lead machine-learning deployments.
- Apply software lifecycle practices, testing, diagnosis, optimization, secure software development, system administration, migrations, and backup and recovery.
Requirements
- Master’s degree or equivalent relevant experience in Machine Learning, Computer Science, Data Science, or a related field.
- Demonstrated experience developing and deploying federated learning solutions in real-world environments.
- Proficiency with federated learning techniques, aggregation algorithms, communication and network architecture, and security and privacy features.
- Hands-on experience with network security, certificates, encryption, access control, authorization, and authentication.
- Proven experience coordinating or technically leading machine-learning deployments.
- Excellent knowledge of software lifecycle tools and procedures, including Git and GitLab.
- Excellent programming knowledge with Python and deep-learning frameworks such as TensorFlow, Keras, PyTorch, Jax, or scikit-learn.
- Experience with healthcare data analysis is an asset.
- Spoken and written English and a commitment to learn French.
Benefits
- Three-year limited-duration contract, with possible extension up to eight years and potential eligibility for an indefinite contract.
- Hybrid work arrangement and a 40-hour work week.
- Thirty days of paid leave per year plus two weeks of annual closure.
- CERN health insurance coverage for the employee, spouse, and children.
- Membership in the CERN Pension Fund.
- Family, child, and infant monthly allowances depending on individual circumstances.
- Relocation package including installation grant, removal, and travel expenses depending on individual circumstances.
- Competitive tax-free salary increasing with relevant experience.
- Applications normally due by 12.12.2026 at 23:59 CET.
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About CERN
CERN is the European Organization for Nuclear Research, an intergovernmental, nonprofit laboratory headquartered in Meyrin, Switzerland (founded 1954). It designs, builds, and operates particle accelerators and detectors—most notably the Large Hadron Collider—and provides large-scale computing and data services for a worldwide physics community. Funded by its European Member States, CERN hosts thousands of visiting researchers and engineers and develops technologies ranging from control systems to identity and access management used across its experiments.