CERN10.04.26
AI SCORE 8.5

AI Platforms Engineer - Remote Opportunity at CERN

$65K–$70K/year

About the Role

Ready to build AI platforms at the scale of CERN? Join us as an AI Platforms Engineer in a remote capacity and help power the next wave of scientific discovery with machine learning, large language models (LLMs), and emerging agentic AI systems. You will design and operate shared AI platforms used by experiments, researchers, and services across CERN, combining open-source innovation, cloud-native technologies, and high-performance computing to turn vast volumes of scientific data into insight.

What You'll Do

  • Design, develop, and operate shared AI platforms supporting machine learning, LLMs, and agentic systems, from training and fine-tuning to large-scale inference.
  • Collaborate with CERN teams to identify, prototype, and benchmark AI use cases across heterogeneous computing infrastructures.
  • Build and maintain an open-source-based AI/MLOps ecosystem, including model and agent lifecycle management, evaluation, monitoring, and engagement with open-source communities and industry partners.
  • Utilize your experience with machine learning systems and platforms to ensure practical operation of ML services.
  • Implement strong knowledge of MLOps and cloud-native technologies, such as Kubernetes, containers, CI/CD, observability, and model lifecycle management.

Requirements

  • Experience with GPU or accelerator-based workloads, including performance optimization for training and inference.
  • Familiarity with open-source ecosystems, with an interest in evaluating and contributing to community projects.
  • Comfortable with Linux-based systems and knowledge of system configuration tools.
  • Ability to identify and select relevant emerging ICT technologies.
  • Spoken and written English proficiency, with a commitment to learn French.

Nice to Have

  • Knowledge and application of software life-cycle tools and procedures.
  • Experience in a collaborative environment with diverse teams.
  • Interest in advancing your Machine Learning & AI career with relocation support.

What We Offer

  • A monthly stipend between 5266-5793 Swiss Francs (tax-free) depending on your degree.
  • 30 days of paid leave per year plus 2 weeks annual closure.
  • Comprehensive health insurance coverage for yourself, your spouse, and children.
  • Membership in the CERN Pension Fund.
  • A relocation package that includes installation grant and travel expenses.
  • Possibility to extend your contract up to 36 months.
  • On-the-job and formal training including language classes.
Language Requirements
EnglishC1
French(optional)A1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This AI Platforms Engineer role at CERN offers a unique opportunity to work on cutting-edge AI projects in a collaborative environment. With competitive pay and relocation support, it's ideal for those looking to advance their careers in AI.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in deploying and managing machine learning models using Kubernetes and CI/CD pipelines, demonstrating hands-on experience with tools like TensorFlow or PyTorch in a cloud environment.

Self-motivated and comfortable working in a remote or hybrid setting, with the ability to manage time effectively and stay organized while collaborating with a distributed team.

Strong foundation in Linux systems administration, enabling efficient troubleshooting and optimization of AI platforms, along with a proactive approach to learning and adapting to new technologies.

Learning Resources

Machine Learning Crash Coursecourse

Career Path

AI Platforms Engineer(Now)Machine Learning Engineer(1-2 years)Senior AI Platforms Engineer(3-5 years)

Market Overview

Market Size 2024
$20.3B
Annual Growth
36.4%
AI Adoption
55%
Investment
+150%
Labour Demand
+40%
Avg Salary
$85K

Skills & Requirements

Required
Machine LearningMLOpsKubernetes
Growing in Demand
Data EngineeringModel DeploymentCloud-Native Development
Declining
R ProgrammingHadoop Ecosystem

Domain Trends

Increased Adoption of MLOps
Organizations are increasingly adopting MLOps practices, with 70% of companies implementing MLOps strategies by 2025 to streamline ML model deployment and management.
Shift to Cloud-Based AI Solutions
Over 60% of AI projects are moving to cloud-based platforms, driven by the need for scalability and cost-effectiveness, with major cloud providers expanding their AI offerings.
Focus on Ethical AI
Around 40% of AI initiatives are now incorporating ethical considerations, as companies prioritize responsible AI use and compliance with emerging regulations.

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