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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.
Job Responsibility:
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
Requirements:
Masters-level education in computer science
Experience in building LLM systems efficiently and at scale
Nice to have:
PhD in a relevant technical field, or equivalent practical experience
Publications in top-tier venues such as NeurIPS, ICML, ICLR