Machine Learning Engineer for Next Generation Triggers (NGT) (IT-CD-PI-2026-177-LD)

CERN; Deutschland; Hybrid; EUR 85.000 - 115.000; Vollzeit

Benefits dieser Stelle

Tax-free salary

30 days leave + 2 weeks annual closure

Health insurance

Pension program

Relocation package

Contract extension possibility

Zusammenfassung

CERN is seeking an engineer to develop and operate its next-generation ML platform (NGT) for training, deployment, and management of AI workloads at scale. You will work with Kubernetes, GPUs and cloud-native tools, optimizing resource usage across on-prem and cloud resources.

The role requires a Master's degree or equivalent experience, strong ML systems knowledge, and hands-on production deployment. Hybrid work model, with global research collaboration and diverse teams.

Qualifikationen

• Masters or equivalent in Computing Engineering or related field.
• Hands-on experience deploying and operating ML systems in production.

Aufgaben

• Develop and operate CERN's NGT ML platform for training, deployment and lifecycle management.
• Manage cluster resources across on-premises and external resources with optimization.
• Extend cloud-native infra for workload scheduling, monitoring and cost control.
• Produce reference architectures and best practices for CERN users.

Kenntnisse

ML systems

Kubernetes

CI/CD

GPU acceleration

Open source

Ausbildung

Master's degree

Tools

Docker

Monitoring

Cloud-native tooling

Jobbeschreibung

Introduction:

You will develop and operate CERN's next-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.

Functions:

• 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.
• Master's Degree or equivalent relevant experience in the field of Computing Engineering or a related field.

Experience:

• Knowledge in machine learning systems, ideally with hands-on experience deployment and operating such services in production environments.
• Familiarity with one or more of the following areas.
• Kubernetes, containerisation, CI/CD, observability and model lifecycle management.
• Experience using GPU and/or other accelerator platforms, including performance tuning and optimisation of inference workloads.
• Familiarity with open-source ecosystems and willingness to contribute, evaluate upstream projects and follow community best practices.
• Enthusiasm for learning new technologies and contributing to cutting-edge scientific computing is essential.

Technical competencies:

• Knowledge of operating systems.
• Knowledge of system configuration tools.
• Architecture and design of ICT systems.
• Identification and selection of relevant emerging ICT technologies.
• Knowledge and application of software life-cycle tools and procedures.

Behavioural competencies:

• Working in Teams: working well in groups and readily fitting into a team; participating fully and taking an active role in team activities.
• Solving Problems: addressing complex problems by breaking them down into manageable components.
• Managing Self: taking initiative beyond regular tasks and making things happen.
• Building Relationships: showing appreciation for the ideas and contributions of others and encourages others to express their views, even if controversial.

Language skills:

• Spoken and written English, with a commitment to learn French.

Eligibility and closing date:

Diversity has been an integral part of CERN's mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success. We welcome applications from all Member States and Associate Member States .

This vacancy will be filled as soon as possible, and applications should normally reach us no later than 11.09.2026 at 23:59 CEST.

Employment Conditions:

Contract type: Limited duration contract (2 years). Subject to certain conditions, holders of limited-duration contracts may apply for an indefinite position.

Working Hours: 40 hours per week

Job Flexibility: Hybrid

This position involves:

• Work during nights, Sundays and official holidays, when required by the needs of the Organization.

Job grade: 6-7

Job reference: IT-CD-PI-2026-177-LD

Field of work: Software Engineering and IT

Benchmark Job Title: Computing Engineer

Global Benefits

• A competitive salary (tax free), increasing in line with your years of relevant experience.
• 30 days of paid leave per year plus 2 weeks annual closure.
• Coverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.
• Family, child and infant monthly allowances depending on your individual circumstances.
• A relocation package (installation grant, removal, travel expenses) depending on your individual circumstances.
• Possibility to extend your contract up to 8 years + eligibility for indefinite contract tenure.

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