Machine Learning Engineer for Next Generation Triggers (NGT)

Big Science Sweden; Genf; Hybrid; CHF 110.000 - 145.000; Vollzeit

Zusammenfassung

CERN is seeking a Machine Learning Engineer for the Next Generation Triggers platform to train, deploy and manage AI workloads at scale. You will work with Kubernetes, GPUs and cloud-native tools to build and operate the ML platform enabling scientists and engineers to push the boundaries of detector data processing.

You will collaborate with IT and other CERN groups to extend cloud-native infrastructure, optimize resource usage, and document architectures and best practices for users and use

Aufgaben

• 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 and 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.

Jobbeschreibung

Machine Learning Engineer for Next Generation Triggers (NGT)

Datum: 11 september, 2026 Tid: 11:59

Placering: CERN

Mer information

You will develop and operate CERN’snext-generation machine learning platform, enabling scientists and engineers to train, deploy and manage AI workloads at scale. Working with cutting-edge technologies including Kubernetes, GPUs and cloud-native tools, you will help build the infrastructure supporting machine learning for the High-Luminosity LHC.

Your responsibilities

• 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.