At CERN, the European Organisation 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.
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Job description
Interested in helping shape the next generation systems handling the very large amount of data coming out of CERN physics detectors? Passionate about machine learning (ML) and how it will reshape how our experiments work?
You will design and operate shared AI platforms used by experiments, researchers, and services across CERN - combining open-source innovation, cloud-native technologies, and high-performance computing to turn vast volumes of scientific data into insight.
Your responsibilities
Design and develop the platform and support activities in the Next Generation Triggers (NGT) project, shaping the next generation systems for the High Luminosity LHC (HL-LHC) and beyond.
Design and develop the central machine learning (ML) platform at CERN, supporting activities across all experiments, campus services and user communities.
Collaborate with CERN teams to identify, prototype and benchmark AI use cases across heterogeneous computing infrastructures.
Build and maintain an open-source-based AI/MLOps ecosystem, including model and agent lifecycle management, evaluation, monitoring, and engagement with open-source communities and industry partners.
Your profile
Experience with machine learning systems and platforms, including practical operation of ML services.
Strong knowledge of MLOps and cloud-native technologies, such as Kubernetes, containers, CI/CD, observability, and model lifecycle management.
Experience with GPU or accelerator-based workloads, including performance optimisation for training and inference.
Familiarity with open-source ecosystems, with an interest in evaluating and contributing to community projects.
Skills
Comfortable with Linux based systems.
Knowledge of system configuration tools.
Identification and selection of relevant emerging ICT technologies.
Knowledge and application of software life-cycle tools and procedures.
Spoken and written English, with a commitment to learn French.
Eligibility criteria
You are a national of a CERN Member or Associate Member State.
By the application deadline, you have a maximum of two years of professional experience since graduation in Computing Engineering (or a related field) and your highest educational qualification is either a Bachelor's or Master's degree.
You have never had a CERN fellow or graduate contract before.
Applicants without University degree are not eligible.
Applicants with a PhD are not eligible.
This position involves:
Stand-by duty, when required by the needs of the Organisation.
Work during nights, Sundays and official holidays, when required by the needs of the Organisation.
What we offer
A monthly net stipend of either 5,266 or 5,793 Swiss Francs per month depending on your degree.
30 days of paid leave per year plus 2 weeks annual closure.
Coverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.
Family, child and infant monthly allowances depending on your individual circumstances.
A relocation package (installation grant and travel expenses) depending on your individual circumstances.
Possibility to extend your contract up to 36 months.
On-the-job and formal training including language classes.
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