Machine Learning Engineer for Next Generation TriggersNew

Develops and operates CERN’s next-generation machine-learning platform for training, deploying and managing AI workloads at scale. The engineer builds cloud-native infrastructure for the High-Luminosity LHC, optimises accelerator and cluster resources, strengthens MLOps workflows and provides reference architectures and best practices for scientific users.

• Develop and operate the next-generation machine-learning platform
• Support model training, hyper-parameter optimisation and serving
• Manage cluster resources and optimise CPU, GPU and RAM usage
• Extend cloud-native infrastructure for scheduling, monitoring and accounting
• Improve MLOps deployment, observability and model lifecycle workflows
• Produce reference architectures, documentation and best practices
• Collaborate with CERN groups and external research and industry organisations

• Master’s degree or equivalent relevant experience in Computing Engineering or a related field
• Knowledge of machine learning systems and experience deploying and operating services in production environments
• Spoken and written English
• Commitment to learn French
• Candidates who have previously held a CERN staff contract are not eligible

• Machine Learning Systems
• MLOps
• Model Deployment
• Cluster Management
• Workload Scheduling
• Performance Optimisation
• Cloud Native Infrastructure
• System Monitoring

• Kubernetes
• GPU
• CI/CD