Research Engineer - FAIR, SGT
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Before you apply
LocationParis, France
Typefull-time
SenioritySenior
DepartmentAI Research, Artificial Intelligence
Company size10,000+ people
PostedApr 6, 2026 · 7mo ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Apr 6, 2026
At a glanceSummarised by Seekless from the posting.
Masters-level education in computer science
Experience in building LLM systems efficiently and at scale
Innovate, lead, and execute pioneering algorithmic research to push the state-of-the-art in generative models and LLM performance
Directly contribute to the experimental process, including designing details, implementing reusable code, running evaluations, and organizing results
Collaborate with cross-functional teams (research, product, infra) to build new and advance LLM optimization
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Lead initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Contribute to publications, open-sourcing initiatives, and mentor other team members
PhD in a relevant technical field, or equivalent practical experience
Publications in top-tier venues such as NeurIPS, ICML, ICLR
Skills
Python
About the role
Meta’s Fundamental AI Research (FAIR) organization is seeking a Research Engineer to drive advancements in large language models. The role involves working across the full spectrum of research, engineering, optimization, and deployment for both product and frontier model efforts.
Responsibilities
•
Innovate, lead, and execute pioneering algorithmic research to push the state-of-the-art in generative models and LLM performance
•
Directly contribute to the experimental process, including designing details, implementing reusable code, running evaluations, and organizing results
•
Collaborate with cross-functional teams (research, product, infra) to build new and advance LLM optimization
•
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
•
Lead initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
•
Contribute to publications, open-sourcing initiatives, and mentor other team members
Minimum qualifications
•
Masters-level education in computer science
•
Experience in building LLM systems efficiently and at scale
Preferred qualifications
•
PhD in a relevant technical field, or equivalent practical experience
•
Publications in top-tier venues such as NeurIPS, ICML, ICLR