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AI Research Engineers - Swiss AI Initiative - Job Opportunity at EPFL (École Polytechnique FĂ©dĂ©rale de Lausanne)

Lausanne, Switzerland
Contract
Mid-level to Senior
Posted: May 8, 2025
Hybrid
CHF 120,000 - 160,000 per year based on Swiss market rates for AI research positions at public institutions

Benefits

Access to world-class AI supercomputing infrastructure (Alps)
Flexible work arrangements with remote options
Professional development and conference attendance
Integration with Swiss academic ecosystem
Opportunity to contribute to nationally significant AI projects
Collaboration with leading research institutions

Key Responsibilities

Lead development of next-generation open foundation models
Implement and optimize distributed AI training systems
Design and execute data curation workflows for multimodal datasets
Develop model evaluation frameworks and benchmarking systems
Create and deploy inference systems
Architect reasoning and retrieval-augmented generation solutions
Research and implement multi-modal AI architectures

Requirements

Education

MSc in Computer Science, Data Science, AI or related field (exceptional BSc candidates considered)

Experience

Not explicitly specified but implied mid-level experience required

Required Skills

Python programming PyTorch or similar ML frameworks Neural network architectures Software development practices Version control systems Debugging Testing Deployment Problem-solving abilities Analytical skills Team collaboration
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Sauge AI Market Intelligence

Industry Trends

Sovereign AI development is becoming a strategic priority for nations seeking technological independence Open-source AI models are gaining prominence as alternatives to commercial solutions Multi-modal AI capabilities are emerging as the next frontier in AI research High-performance computing infrastructure is becoming critical for AI model development

Role Significance

Likely part of a 10-15 person core research team collaborating across institutions
Technical lead position with significant autonomy in architectural decisions and research direction

Key Projects

Development of Swiss-specific large language models Creation of open-source alternatives to commercial AI systems Implementation of multi-modal AI architectures Design of efficient training and inference systems

Success Factors

Deep understanding of distributed systems and high-performance computing Ability to balance research objectives with practical implementation Strong collaboration skills for cross-institutional projects Experience with large-scale machine learning systems

Market Demand

Very high demand with limited talent pool due to specialized nature of large-scale AI model development expertise

Important Skills

Critical Skills

Distributed systems expertise for large-scale model training Deep learning framework proficiency for model implementation High-performance computing knowledge for optimization Software engineering best practices for production systems

Beneficial Skills

Understanding of multiple European languages Experience with open-source project management Knowledge of AI ethics and governance Familiarity with Swiss technical standards

Unique Aspects

Access to Europe's most powerful public AI supercomputer
Direct involvement in national AI sovereignty initiatives
Combination of academic research with practical implementation
Strong public sector backing with clear societal impact goals

Career Growth

2-3 years typical progression timeline given project scope and visibility

Potential Next Roles

Principal AI Researcher Technical Research Director AI Infrastructure Architect Research Team Lead

Company Overview

EPFL (École Polytechnique FĂ©dĂ©rale de Lausanne)

EPFL is one of Europe's leading technical universities, particularly strong in computer science and AI research

Top-tier academic institution with strong industry partnerships and government backing
Central player in Switzerland's AI ecosystem with strong international connections
Research-focused environment emphasizing innovation and academic freedom while maintaining practical impact
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