CERN
Computer Scientist(m/w/x)
Vollzeit
mit Homeoffice
Berufserfahren
6.287 - 6.911 / Monat
Genf
CE
CERN24 Tage
Machine Learning Developer(m/w/x)
Vollzeit
mit Homeoffice
Berufserfahren
AI/ML Job
6.287 - 6.911 / Monat
Genf
Nejo KI-Zusammenfassung
In this role, you will be at the forefront of real-time Machine Learning, designing and training models to enhance physics selections. Your work will involve integrating these models into FPGAs and collaborating with a diverse team to push the boundaries of data processing in high-energy physics.
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Anforderungen
- •Experience developing and applying Machine Learning algorithms for physics or scientific data analysis
- •Familiarity with Fast ML or hardware-constrained ML techniques
- •Knowledge of physics analysis or physics event reconstruction methods
- •Experience with Trigger and Data Acquisition systems, including hardware architectures
- •Practical experience with software development, GitHub/GitLab, Continuous Integration, MLOps
- •Basic knowledge of FPGA design including HDLs and/or High Level Synthesis
- •Skills in Machine Learning and Fast Machine Learning
- •Physics Data Analysis and Reconstruction
- •Trigger Systems and Data Acquisition
- •MLOps, Continuous Integration and CI/CD Pipelines
- •FPGA Design and Programming
- •Hardware Description Languages and High-Level Synthesis
- •Spoken and written English, commitment to learn French
- •National of a CERN Member or Associate Member State
- •Master's degree with 2 to 6 years of post-graduation professional experience or PhD with no more than 3 years of post-graduation professional experience
- •No previous CERN fellow or graduate contract
Master-Abschluss
ODER
Doktor / Ph.D.
Berufserfahrung
2–6 Jahre
Deine Aufgaben
- •Design and train ML models for CMS Phase-2 Level-1 Trigger
- •Optimize information transport across the multi-algorithm system
- •Develop and integrate ML models into FPGAs
- •Test ML models using RTL/HLS components and software emulators
- •Demonstrate physics performance gains and present results
- •Implement MLOps practices for reproducible training and validation
- •Scale workflows for deployment of ML-based trigger algorithms
- •Collaborate with CMS, CERN departments, and external ML research institutes
Tools & Technologien
Machine LearningFast Machine LearningTrigger and Data Acquisition systemsGitHubGitLabContinuous IntegrationMLOpsFPGAHDLsHigh Level Synthesis
Sprachen
Englisch – verhandlungssicher
Französisch – Grundkenntnisse
Deine Vorteile
Mehr Urlaubstage
- •30 days of paid leave
Gesundheits- & Fitnessangebote
- •CERN health insurance coverage
Betriebliche Altersvorsorge
- •CERN Pension Fund membership
Familienfreundlichkeit
- •Family monthly allowances
Sonstige Zulagen
- •Relocation package
Weiterbildungsangebote
- •On-the-job training
- •Formal training including language classes
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens CERN erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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