Machine Learning Engineer, IT-CD

Big Science Sweden; Genf; Hybrid; CHF 120,000 - 180,000; Full time

Job summary

CERN in Geneva is seeking to design and operate shared AI platforms that turn vast scientific data into insight. You will join the Next Generation Triggers project and build the central ML platform used across experiments, campus services and user communities.

Applicants should have a university degree (Bachelor’s or Master’s) and ≤2 years since graduation, with no prior CERN fellow or graduate contract. This role focuses on open-source ML/MLOps, AI benchmarking, and collaboration with CERN

Qualifications

• University degree required; max 2 years of professional experience since graduation.
• PhD not allowed for this position.
• Eligibility criteria as stated in the ad.

Responsibilities

• Design and develop the platform in the Next Generation Triggers (NGT) project for HL-LHC and beyond.
• Build and operate the central ML platform at CERN supporting all experiments and services.
• Collaborate with CERN teams to prototype, benchmark AI use cases across heterogeneous computing infrastructures.
• Create and maintain an open-source AI/MLOps ecosystem including model lifecycle management and monitoring.

Education

Bachelor’s or Master’s degree

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.

Be sure to meet the eligibility criteria

• 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.