Machine Learning Engineer

Wer wir sind

At CERN, the European Organization for Nuclear Research, we are pushing the frontiers of science and technology. Our groundbreaking work brings together not only physicists but also a diverse range of professionals from engineering, technical, scientific, and administrative fields. Together, we foster an environment where innovation and collaboration thrive. Every day, we face exciting new challenges and opportunities to contribute to cutting-edge research that shapes our understanding of the universe. We meet these challenges through the diverse perspectives within our teams, ensuring every contribution is valued and driving our shared sense of inclusion and purpose. Diversity is a core value of CERN since its foundation, and it remains central to our mission and continued success. If you are ready to be part of a dynamic, inclusive community pushing the boundaries of knowledge, CERN is the place where your curiosity and skills can thrive. Be part of our mission to uncover what lies at the heart of the universe! TAKE PART!

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. Your studies focused on Computing Engineering.

Fähigkeiten

ML / AIDockerICTMachine LearningKubernetesLinux

Gehaltsspanne

Transparent

5'266 – 5'793 CHFJahresgehalt bei einem Arbeitspensum von 100%

Kontakt