Machine Learning Engineer

At CERN, the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. Using the world's largest and most complex scientific instruments, they study the basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature.

• Develop and operate the NGT machine learning platform, covering model training, hyper-parameter optimisation and serving, targeting optimal usage of detector resources.
• Manage cluster resources, integrate new resources, on-premises or via external resources (such as clouds or HPC centers), and optimise resource usage (e.g. via CPU/GPU/RAM affinity layouts) and the existing MLOps workflows to cover deployment, observability and lifecycle management & versioning of models.
• Extend the cloud native infrastructure to support advanced workload scheduling, system monitoring & accounting, as well as prompt cost control.
• Produce and present reference architectures, documentation and best practices to support CERN users and use cases.
• Ensure efficient collaboration with other groups in IT and in other departments, as well as constant alignment with the evolving landscape of external research and industry organisations.

• Master's Degree or equivalent relevant experience in the field of Computing Engineering or a related field.
• Knowledge in machine learning systems, ideally with hands-on experience deployment and operating such services in production environments.
• Familiarity with one or more of the following areas: Kubernetes, containerisation, CI/CD, observability and model lifecycle management.
• Experience using GPU and/or other accelerator platforms, including performance tuning and optimisation of inference workloads.
• Familiarity with open-source ecosystems and willingness to contribute, evaluate upstream projects and follow community best practices.
• Enthusiasm for learning new technologies and contributing to cutting-edge scientific computing is essential.
• Technical competencies: Knowledge of operating systems, Knowledge of system configuration tools, Architecture and design of ICT systems, Identification and selection of relevant emerging ICT technologies, Knowledge and application of software life-cycle tools and procedures.
• Behavioural competencies: Working in Teams, Solving Problems, Managing Self, Building Relationships.
• Language skills: Spoken and written English, with a commitment to learn French.

• Eligibility and closing date: This vacancy will be filled as soon as possible, and applications should normally reach us no later than 11.09.2026 at 23:59.
• Diversity has been an integral part of CERN's mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success. We welcome applications from all Member States and Associate Member States.