Machine Learning Engineer

CERN; Genf; On-site; CHF 120,000 - 180,000; Full time

Job summary

CERN in Geneva seeks engineers to design and operate the next generation AI platforms powering its detectors and data workflows. You will champion open-source, cloud-native tech and high-performance computing to transform vast scientific data into actionable insights.

You will design the central ML platform for CERN, collaborating with experiments, campus services and user communities. The role includes prototyping AI use cases across heterogeneous infrastructures and contributing to an

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.

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:

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