Research Engineer - FAIR, SGT
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Recruiter screen, a technical screen (60-minute asynchronous challenge or paired live coding), a short culture-fit questionnaire, then a virtual onsite of about four rounds: fast-paced coding with multiple problems per round, system design scoped to level, a lighter behavioral, and an AI-enabled coding round assessing how you work with a coding assistant.
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About
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 PhD in a relevant technical field, or equivalent practical experience
- Publications in top-tier venues such as NeurIPS, ICML, ICLR
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