{"id":4147638,"url":"https://alion.io/job/cern-machine-learning-engineer-te-dps-aim-2026-223-ld","title":"Machine Learning Engineer (TE-DPS-AIM-2026-223-LD)","company":{"id":4055,"name":"CERN","domain":"home.cern","url":"https://alion.io/company/cern","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"contractor","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Geneva, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":9236,"max":null,"currency":"CHF","period":"month","gross":null,"usd_annual":133092},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":true,"has_equity":false,"technologies":[{"name":"Federated Learning","optional":false},{"name":"GDPR","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"JAX","optional":false},{"name":"Keras","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-11-12T07:15:41Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T07:52:26Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"At CERN, the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. Using the world's largest and most complex scientific instruments, they study the basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature.\n Introduction\nHelp shape the future of healthcare AI, where innovation meets trust.\nAt CERN, you will develop cutting-edge AI solutions that help prevent disease, improve prediction, and deliver trustworthy healthcare insights. You will work on technologies that make it possible to unlock the value of sensitive data without ever moving or exposing it, enabling collaboration where privacy is essential.\nAs part of this role, you will help develop and deploy CAFEIN®, CERN's federated AI platform powering major European healthcare initiatives, including UMBRELLA and AIM-SAFE. You will design advanced federated learning algorithms and secure distributed AI systems that allow models to learn from data across institutions while keeping the data exactly where it belongs.\nRecognised as a lighthouse example of \"data stays, AI collaborates\", CAFEIN® combines state-of-the-art federated learning with CERN's unique strengths in trust, open science, GDPR compliance, and international collaboration. The result is a pioneering framework that is redefining how AI can advance healthcare while safeguarding privacy.\nJoin us to build AI that learns globally, protects locally, and improves lives.\nFunctions\nDevelop and test federated learning software and algorithms.\nImplement and evaluate privacy-preserving techniques, including differential privacy and homomorphic encryption.\nDevelop tools to optimise data ingestions and assess the quality of data and images. \nDesign and run machine-learning experiments using programming languages like Python with libraries as TensorFLow, PyTorch, or scikit-learn. \nAnalyse data using statistical methods and visualisation for exploratory data analysis (EDA). \nImplement and benchmark state-of-the-art machine-learning methods, optimising federated learning for utility, communication efficiency, energy use and scalability. \nDesign and deploy Internet of Things (IoT)-based federated learning architectures.\n Master's degree or equivalent relevant experience in the field of Machine Learning, Computer Science or Data Science or a related field.\nExperience:\nDemonstrated experience developing and deploying federated learning solutions in real-world environments. \nProficiency in federated learning techniques, including aggregation algorithms, communication and network architecture, security and privacy features.\nHands on experience with network security, including certificates, encryption, access control, authorisation, and authentication.\nProven experience in coordinating or technically leading machine-learning deployments. \nExcellent knowledge and hands on experience with software life-cycle tools and procedures (proficiency with Git and GitLab).\nExcellent knowledge of programming techniques and languages: python, deep learning framework (e.g. TensorFlow, Keras, PyTorch, Jax or scikit-learn).\nExperience in data analysis in a health care environment would be an asset.\nTechnical competencies:\nKnowledge and application of software life-cycle tools and procedures.\nKnowledge of programming techniques and languages.\nTesting, diagnosing and optimisation of software.\nKnowledge of best practices for developing secure software.\nAdministration of computing systems, upgrades, application of security patches, system and data migrations, backup and recovery.\nBehavioural competencies:\nAchieving Results: delivering high quality work on time and fulfilling expectations.\nSolving Problems: identifying, defining and assessing problems, taking action to address them.\nWorking in Teams: cooperating constructively with others in the pursuit of team goals; balancing personal goals with team goals.\nCommunicating Effectively: ensuring that information, procedures and decisions are appropriately documented.\nLearning and Sharing Knowledge: sharing knowledge and expertise freely and willingly with others; coaching others to ensure knowledge transfer.\nLanguage skills:\nSpoken and written English, with a commitment to learn French.\n Eligibility and closing date:\nDiversity 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.\nThis vacancy will be filled as soon as possible, and applications should normally reach us no later than 12.12.2026 at 23:59 CET.\nEmployment Conditions\nContract type: Limited duration contract (3 years). Subject to certain conditions, holders of limited-duration contracts may apply for an indefinite position.\nWorking Hours: 40 hours per week\nJob Flexibility: Hybrid\nJob grade: 6-7\nJob reference: TE-DPS-AIM-2026-223-LD\nField of work: Information Technologies\nBenchmark Job Title: Computing Engineer\nGlobal Benefits\nA competitive salary (tax free), increasing in line with your years of relevant experience.\n30 days of paid leave per year plus 2 weeks annual closure.\nCoverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.\nFamily, child and infant monthly allowances depending on your individual circumstances.\nA relocation package (installation grant, removal, travel expenses) depending on your individual circumstances.\nPossibility to extend your contract up to 8 years + eligibility for indefinite contract tenure.\nOverview of CERN - Discover a world where the impossible is made possible!\nAt 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.\nEvery 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.\nIf 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! 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