Machine Learning Developer

Switzerland flag Geneva, Switzerland EP-CMG-OS-2025-260-GRAP Ideal start date: 01/04/2026
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Before 04/02/2026 at 23:59 (Geneva Time)

What you'll do

Join us to push the boundaries of real-time Machine Learning (ML) in one of the most demanding computing environments in the world. You will develop cutting-edge ML models for the CMS Level-1 Trigger – an ultra-low-latency, FPGA-based system responsible for selecting the most interesting LHC collisions in real-time. You will help design the next generation of trigger algorithms for the High Luminosity LHC era by co-training ML models across different systems to maximise physics performance while optimising information flow, bandwidth, and on-device resource usage. This includes developing and scaling MLOps workflows, integrating ML models into FPGAs, and delivering demonstrators that validate full-chain performance from training and physics performance to on-hardware deployment. This position is part of the NextGen Triggers (NGT) project, a 5-year collaboration between LHC experiments and the CERN Research and Computing Departments.

The project leverages innovative Artificial Intelligence technologies and high-performance computing architectures to enhance trigger selection, data processing, and theoretical interpretation for LHC experiments. The insights gained will inform future detector development, data flows, and theoretical tools.


Your responsibilities

  • Design and train ML models to boost the physics selections of the CMS Phase-2 Level-1 Trigger by targeting specific signatures and optimising information transport across the multi-algorithm system.
  • Develop, deliver, integrate, and test ML models in FPGAs (including RTL/HLS components and software emulators).
  • Demonstrate physics performance gains and present results within CMS, at CERN, and at international conferences.
  • Design and incorporate MLOps practises, scaling up workflows to ensure reproducible training, validation and deployment of ML-based trigger algorithms.

Still here? Let's make a quick check about

Your profile

  • Experience developing and applying Machine Learning algorithms for physics or scientific data analysis.
  • Familiarity with Fast ML / hardware-constrained ML techniques is an advantage.
  • Knowledge of physics analysis or physics event reconstruction methods.
  • Experience with Trigger and Data Acquisition systems, including hardware architectures.

Your skills

  • Machine Learning & Fast Machine Learning;
  • Physics Data Analysis & Reconstruction;
  • Trigger Systems & Data Acquisition (TDAQ);
  • MLOps, Continuous Integration (CI) & CI/CD Pipelines;
Ideal start date: 01/04/2026
Contract duration: 24 month contract
Job flexibility: Hybrid

Global Benefits at CERN

  • A monthly stipend between 6287-6911 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.

Let's get you ready

Be sure to meet the eligibility criteria

  • You are a national of a CERN Member State or Associate Member State.
  • By the application deadline, you have a master’s degree with 2 to 6 years of professional experience since graduation or a PhD with a maximum of 3 years of professional experience since graduation. You are not eligible with only a bachelor’s degree.
  • 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.

You will need these documents to complete your application

  • Your CV (English or French)
  • Any document you consider relevant to your application
  • A copy of your most relevant diploma or a certificate of achievement from your school (if you don't yet have your paper diploma)

Your CERNDepartment

The EP department conducts research in experimental particle physics and serves as a key reference center for the European physics community, contributing to the education and training of young scientists.

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!


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