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Research Engineer, CodeGen - FAIR - Job Opportunity at Meta

Paris, France
Full-time
Senior
Posted: February 25, 2025
On-site
EUR 120,000 - 180,000 annually, with additional equity compensation typical for Meta's senior research positions

Benefits

Competitive AI industry compensation package
Research publication opportunities
Access to cutting-edge AI infrastructure
Opportunity to contribute to open-source projects
Professional development through conferences and workshops
Work with world-class AI researchers
Influence on fundamental AI advancement

Key Responsibilities

Lead research initiatives in code generation and computational world modeling
Develop and implement novel AI architectures for code understanding
Drive innovation in machine learning models for multi-modal code data processing
Contribute to high-impact research publications
Collaborate with cross-functional teams on AI system development
Design and optimize large language models for code generation
Create reproducible research implementations

Requirements

Education

Master's degree in Computer Science, Computer Engineering, or relevant technical field

Experience

2+ years of equivalent domain-specific industry experience

Required Skills

Python C++ C Rust PyTorch Machine learning expertise Large Language Models optimization Complex problem solving Cross-functional communication Research background in AI/ML
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Sauge AI Market Intelligence

Industry Trends

The field of AI code generation is experiencing unprecedented growth with major tech companies investing heavily in automated programming solutions. Research in computational world modeling is becoming increasingly critical for next-generation AI systems. The convergence of large language models and code generation is creating new research frontiers in AI. Open-source contributions and reproducible research are becoming standard requirements in AI research roles.

Role Significance

Typically part of a 5-10 person specialized research team within the larger FAIR organization
Senior research position with significant influence on Meta's AI research direction and potential industry-wide impact

Key Projects

Development of next-generation code generation models Research into computational world modeling systems Large-scale AI model optimization projects Cross-modal learning systems development

Success Factors

Deep expertise in machine learning and AI research methodologies Proven track record of research publications and open-source contributions Ability to balance theoretical research with practical implementation Strong collaboration skills within a global research organization

Market Demand

Extremely high demand with significant competition for qualified candidates, particularly in the European AI research market

Important Skills

Critical Skills

Deep learning and neural architecture expertise Advanced programming skills in AI frameworks Research methodology and scientific writing Large-scale system optimization experience

Beneficial Skills

Experience with code analysis tools Background in computational linguistics Knowledge of software engineering best practices Familiarity with distributed computing systems

Unique Aspects

Opportunity to work on fundamental AI research with immediate practical applications
Access to Meta's vast computational resources and unique datasets
Balance of academic research freedom with industry implementation
Strong emphasis on open science and reproducible research

Career Growth

2-4 years typical progression timeline with significant research contributions

Potential Next Roles

Principal Research Scientist Research Director AI Research Team Lead Distinguished Research Engineer

Company Overview

Meta

Meta (formerly Facebook) maintains a leading position in AI research through FAIR, consistently pushing boundaries in fundamental AI advancement

Top-tier technology company with significant resources dedicated to AI research and development
Paris office represents a major European AI research hub with strong connections to academic institutions
Research-focused environment emphasizing innovation, collaboration, and open science principles
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