You will help support and run machine learning applications on the CAFEIN platform at CERN. Your work will focus on keeping ML systems running smoothly, reliably, and at scale. This junior role involves learning and applying MLOps and DevOps practices, such as turning trained models into production services, managing data and training pipelines, and helping integrate federated learning tools across distributed systems.
Be sure to meet the eligibility criteria
- You are a national of aCERN Member State or Associate Member State . Currently, we cannot consider applications from Pakistani and Lithuanian nationals for positions with a 2026 start date, as the ceiling defined under Article II.5 of the Associate Membership Agreement has been reached.
- By the application deadline, you have a maximum of 2 years of professional experience since graduation in the respective field and your highest educational qualification is either a bachelor’s or master’s degree. You must have a university degree and can’t hold a PhD.
- You have never had a CERN fellow or graduate contract before.
- Please pay attention to the additional criteria and requirements for this specific position and mentioned above.
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Machine Learning Engineer Arbeitgeber: Big Science Sweden
CERN ist ein hervorragender Arbeitgeber, der seinen Mitarbeitenden die Möglichkeit bietet, an vorderster Front der wissenschaftlichen Forschung zu arbeiten. Mit einem inspirierenden Arbeitsumfeld in Genf fördert CERN eine Kultur der Zusammenarbeit und Innovation, während es gleichzeitig umfangreiche Weiterbildungsmöglichkeiten und Karriereentwicklung bietet. Die einzigartige Gelegenheit, mit führenden Wissenschaftlern zusammenzuarbeiten und Zugang zu erstklassigen Forschungsanlagen zu haben, macht CERN zu einem attraktiven Arbeitsplatz für alle, die eine bedeutungsvolle Karriere in der experimentellen Physik anstreben.
