AI Research Scientist, Personalization, Meta SuperIntelligence Labs jobs in United States
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Meta · 18 hours ago

AI Research Scientist, Personalization, Meta SuperIntelligence Labs

positionMenlo Park, CA
timeFull-time
remoteOnsite
senioritySenior Level
money$154/hr - $217/hr

Meta is seeking AI research scientists to help enhance the personalization of Meta AI. The role involves developing and refining post-training recipes, designing evaluations for personalized responses, and tackling complex challenges related to synthetic data curation and user profiling.

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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 modelsPython programmingPytorch frameworkReinforcement learningResearch publicationProblem-solving

Required

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Phd in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
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
First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)

Company

Meta

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Meta's mission is to build the future of human connection and the technology that makes it possible.
dateFounded in 2004
location
Menlo Park, CA, US
people-size10001+ employees
web-link
https://www.metacareers.com/

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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