Machine Learning Engineer (TE-DPS-AIM-2026-94-GRAE) at CERN

Geneva, Geneva, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

28 Jun, 26

Salary

5793.0

Posted On

30 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, TensorFlow, PyTorch, Scikit-learn, Federated Learning, Kubernetes, Spark, Data Analysis, Anomaly Detection, Segmentation, GNNs, Generative AI, LLMs, RAG Systems, DevOps, MLOps

Industry

Research Services

Description

Job Description You will help support and run machine learning applications on the CAFEIN platform at CERN. Your work will focus on keeping ML systems running smoothly, reliably, and at scale. This junior role involves learning and applying MLOps and DevOps practices, such as turning trained models into production services, managing data and training pipelines, and helping integrate federated learning tools across distributed systems. Your responsibilities: Implement machine learning algorithms in Python using TensorFlow, PyTorch, or scikit‑learn. Develop and deploy federated learning software. Support the CAFEIN microservices platform using Kubernetes. Manage data flows between databases and backend systems using tools like Spark. Perform data analysis and EDA to identify insights and new use cases. Your profile: Experience implementing ML/DL models in Python. Experience with anomaly detection, segmentation, or GNNs. Experience with Generative AI, LLMs, or RAG systems. Experience with federated learning tools or algorithms. Experience deploying services using Kubernetes and microservices. Experience with distributed data processing or managing backend data flows. Experience in particle accelerators or healthcare applications (advantage). Skills: Strong Python skills and proficiency with ML/DL frameworks. Knowledge of anomaly detection, image segmentation, and GNN concepts. Understanding of Generative AI, agentic AI, LLMs, and RAG. Understanding of federated learning and privacy-preserving ML. Knowledge of Docker, Kubernetes, microservices, and CI/CD practices. Familiarity with distributed data processing and data pipelines (e.g., Spark). Basic understanding of applied ML domains (medical, industrial, anomaly detection). Spoken and written English, with a commitment to learn French. Eligibility criteria: You are a national of a CERN Member or Associate Member State. By the application deadline, you have a maximum of two years of professional experience since graduation in Data science, IT (or a related field) and your highest educational qualification is either a Bachelor's or Master's degree. You have never had a CERN fellow or graduate contract before. Applicants without University degree are not eligible. Applicants with a PhD are not eligible. Additional Information Job closing date: 20.04.2026 at 23:59 CEST. Contract duration: 24 months, with a possible extension up to 36 months maximum. Working hours: 40 hours per week Job flexibility: Fully Onsite Target start date: 01-April-2026 Job reference: TE-DPS-AIM-2026-94-GRAE Field of work: Data Science & Data Analytics Benchmark job: 200020 - Computing Engineer Global Benefits A monthly stipend between 5266-5793 Swiss Francs per month (tax free) depending on your degree. 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 and travel expenses) depending on your individual circumstances. Possibility to extend your contract up to 36 months. On-the-job and formal training including language classes. Overview of CERN - Discover a world where the impossible is made possible! At CERN, the European Organization for Nuclear Research, we are pushing the frontiers of science and technology. Our groundbreaking work brings together not only physicists but also a diverse range of professionals from engineering, technical, scientific, and administrative fields. Together, we foster an environment where innovation and collaboration thrive. Every day, we face exciting new challenges and opportunities to contribute to cutting-edge research that shapes our understanding of the universe. We meet these challenges through the diverse perspectives within our teams, ensuring every contribution is valued and driving our shared sense of inclusion and purpose. Diversity is a core value of CERN since its foundation, and it remains central to our mission and continued success. If you are ready to be part of a dynamic, inclusive community pushing the boundaries of knowledge, CERN is the place where your curiosity and skills can thrive. Be part of our mission to uncover what lies at the heart of the universe! TAKE PART! More information about us, here: careers.cern

Responsibilities

The role involves supporting and running machine learning applications on the CAFEIN platform, focusing on keeping ML systems reliable and scalable by applying MLOps and DevOps practices. Responsibilities include implementing ML algorithms, developing federated learning software, supporting microservices via Kubernetes, and managing data flows using tools like Spark.