Machine Learning Engineer for Next Generation Triggers

Job Posting Organization:
CERN, the European Organization for Nuclear Research, is a leading scientific research institution established to probe the fundamental structure of the universe. It employs physicists and engineers who utilize the world's largest and most complex scientific instruments to study the basic constituents of matter. CERN's mission is to advance knowledge in the field of particle physics and to foster collaboration among scientists from various disciplines. The organization operates in multiple countries and employs a diverse workforce, emphasizing the importance of diversity in achieving its goals. CERN is known for its innovative research and development in scientific computing and technology, making significant contributions to our understanding of the universe.

Job Overview:
The Machine Learning Engineer for Next Generation Triggers will be responsible for developing and operating CERN's next-generation machine learning platform. This role involves enabling scientists and engineers to train, deploy, and manage AI workloads at scale. The engineer will work with cutting-edge technologies such as Kubernetes, GPUs, and cloud-native tools to build the infrastructure that supports machine learning for the High-Luminosity LHC. The position requires a proactive approach to managing cluster resources, integrating new resources, and optimizing resource usage to ensure efficient operation of machine learning workflows. The engineer will also be tasked with producing documentation and best practices to support CERN users and ensuring collaboration with other departments and external organizations.

Duties and Responsibilities:
The duties and responsibilities of the Machine Learning Engineer include: developing and operating the NGT machine learning platform, which encompasses model training, hyper-parameter optimization, and serving; managing cluster resources and integrating new resources, whether on-premises or through external sources such as cloud or HPC centers; optimizing resource usage through CPU/GPU/RAM affinity layouts; extending the cloud-native infrastructure to support advanced workload scheduling, system monitoring, accounting, and cost control; producing and presenting reference architectures and documentation to assist CERN users; ensuring efficient collaboration with other IT groups and departments; and maintaining alignment with the evolving landscape of external research and industry organizations.

Required Qualifications:
Candidates must possess a Master's Degree or equivalent relevant experience in Computing Engineering or a related field. They should have knowledge of machine learning systems, ideally with hands-on experience in deploying and operating such services in production environments. Familiarity with Kubernetes, containerization, CI/CD, observability, and model lifecycle management is essential. Experience with GPU and/or other accelerator platforms, including performance tuning and optimization of inference workloads, is also required. Candidates should be willing to contribute to open-source ecosystems and follow community best practices, demonstrating enthusiasm for learning new technologies and contributing to scientific computing.

Educational Background:
A Master's Degree or equivalent in Computing Engineering or a related field is required for this position. This educational background should provide a solid foundation in computing principles, machine learning, and systems engineering, equipping candidates with the necessary skills to excel in the role.

Experience:
Candidates should have relevant experience in machine learning systems, particularly in deploying and operating such services in production environments. Familiarity with advanced technologies such as Kubernetes, containerization, and CI/CD processes is highly desirable. Experience with GPU platforms and performance optimization is also important, as is a willingness to engage with open-source projects and contribute to the community.

Languages:
Proficiency in spoken and written English is mandatory, with a commitment to learning French considered an asset. This bilingual capability will facilitate effective communication within the diverse CERN community and enhance collaboration with international colleagues.

Additional Notes:
This position is offered as a limited duration contract for 2 years, with the possibility of extension up to 8 years and eligibility for an indefinite contract tenure. The job requires a commitment of 40 hours per week, with hybrid working flexibility. Candidates should be prepared to work during nights, Sundays, and official holidays as required by the organization's needs. The job grade is classified as 6-7, and the reference for this position is IT-CD-PI-2026-177-LD. CERN offers a competitive salary that is tax-free, along with 30 days of paid leave per year, comprehensive health insurance coverage, and various family allowances depending on individual circumstances. A relocation package is also available.