EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries.

About the position

EPFL has developed a comprehensive AI infrastructure ecosystem serving education and analytics. Built around our Graph AI platform, RCP computational infrastructure, and Intelligent Agents framework, this ecosystem currently powers 20+ AI tutors, semantic search capabilities, and data analytics tools.

We are seeking an AI for Education Platform Coordinator who will serve as both a power-user and benchmark guardian of our AI infrastructure. This is a hands-on technical role focused on making our platform accessible to new users while ensuring our AI systems meet the highest standards across technical, ethical and ecological dimensions. A key aspect of this role involves close collaboration with EPFL’s AI Center to bridge research and practice.



Our infrastructure includes:

• Graph AI Platform: Knowledge graph, semantic search, and RAG construction pipelines
  
  
• RCP Computational Infrastructure: GPU clusters, local LLMs, specialized AI services
  
  
• Intelligent Agents Framework: Orchestration layer for chatbots and AI applications
  
  
• Multiple Data Sources: Educational content, institutional data, research publications
  
  

Mission

You will bridge the gap between our sophisticated AI infrastructure and the diverse teams that can benefit from it. As a power-user, you’ll master our tools, document them thoroughly, and train others. As an evaluator, you’ll establish rigorous testing frameworks to ensure our AI systems are responsible, efficient, cost-effective, and sustainable. You will also serve as a key liaison with EPFL’s AI Center, facilitating the integration of cutting-edge research findings into our educational AI platform and enabling research projects that leverage our infrastructure and data.

Main duties and responsibilities

1. Comprehensive AI Benchmarking (60%)

Develop and maintain a rigorous benchmark evaluation framework:

Ethical dimension

• Streamline bias detection tests (gender, language, cultural biases)
  
  
• Create transparency documentation: model capabilities, limitations, training data, appropriate use cases
  
  
• Provide sustainability recommendations for model selection and green AI practices
  
  

Technical Dimension

• Apply performance benchmarking harness (latency, throughput, accuracy)
  
  
• Create comparative evaluation matrix: Local LLMs (RCP) vs. Apertus vs. Commercial service.
  
  
• Develop domain-specific and educational test sets to evaluate LLMs
  
  

AI Center collaboration

• Facilitate the integration of research findings from EPFL’s AI labs into our educational platform
  
  
• Collaborate with the AI Center to benchmark and integrate Apertus, their open weight model, into our platform stack
  
  
• Support research projects that can benefit from our infrastructure or educational data collection capabilities
  
  

2. Infrastructure Enablement & Platform Adoption (40%)

Make our AI platform accessible to others and scaling up:

Documentation & Knowledge Sharing

• Write comprehensive technical documentation (user guides, API docs, tutorials)
  
  
• Create templates and boilerplates for common scenarios
  
  

• Develop configuration wizards to simplify complex setups
  
  

Platform Advocacy

• Build relationships with potential users across EPFL and partner institutions
  
  
• Identify and test new application domains beyond education
  
  
• Foster connections between the educational AI platform and research teams at the AI Center
  
  

Profile

Education & Experience

• Master’s degree in Computer Science, Data Science, AI/ML, or related field
  
  
• 2-3 years of professional experience working with AI/ML systems
  
  
• Proven experience with Large Language Models, RAG systems, or similar AI technologies
  
  
• Background in software testing or evaluation methodologies
  
  

Technical Skills

• Proficient in Python programming
  
  
• Experience with ML frameworks and libraries (LangChain, transformers, vector databases)
  
  
• Understanding of cloud/on-premise infrastructure (GPU clusters, containerization)
  
  
• Knowledge of evaluation metrics and benchmarking methodologies
  
  

Desired Qualifications

• Background in AI ethics, responsible AI, or fairness in ML
  
  
• Background in learning sciences, educational psychology, or pedagogy
  
  
• Experience with open-source communities and documentation
  
  

We offer

Professional Environment

• Work at the cutting edge of AI in education at one of Europe’s leading technical universities
  
  
• Access to state-of-the-art computational infrastructure
  
  
• Unique opportunity to bridge AI research and educational practice
  
  

Development Opportunities

• Continuous learning environment with access to courses and training
  
  
• Participation in conferences and professional development events
  
  
• Opportunity to contribute to open-source projects
  
  
• Direct exposure to cutting-edge AI research and development
  
  

Informations

Contract Start Date :

Activity Rate Min : 80.00

Activity Rate Max : 100.00

Contract Type: CDD

Duration: 1 year, renewable

Reference: 2094