AI Research Scientist, Personalization, Meta SuperIntelligence Labs jobs in United States
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Meta · 8 hours ago

AI Research Scientist, Personalization, Meta SuperIntelligence Labs

Meta is seeking AI Research Scientists to help build solutions for the personalization of Meta AI. The role involves improving the personalization of LLM responses through developing post-training recipes, designing evaluations, and implementing tool calling mechanisms while tackling complex challenges at Meta's scale.

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Comp. & Benefits

Responsibilities

Collaborate with cross-functional teams to develop and improve personalization in Meta’s frontier foundation models
Directly contribute to experiments, including designing experimental details, authoring reusable code, running evaluations, and organizing results
Prioritize research that can be applied to Meta's product development
Lead complex research projects end-to-end

Qualification

LLM post-training expertiseGenerative AI modelsReinforcement learningPython programmingPytorch frameworkSpark frameworkInnovative research solutionsUser profilingProblem-solvingCross-functional collaboration

Required

Experience in Generative AI models and building LLM technologies particularly post training
Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward. Proven experience of proactively identifying, scoping and implementing innovative research solutions
Programming experience in Python and hands-on experience with frameworks like Pytorch, Spark
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred

Hands on experience in Personalization with LLMs particularly on designing agentic systems, RAG and Reinforcement learning based post training techniques

Benefits

Bonus
Equity
Benefits

Company

Meta's mission is to build the future of human connection and the technology that makes it possible.

Funding

Current Stage
Late Stage

Leadership Team

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Kathryn Glickman
Director, CEO Communications
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Christine Lu
CTO Business Engineering NA
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