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AI Research Scientist, Personalization, Meta SuperIntelligence Labs

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Meta

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Location:
United States , Menlo Park

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Contract Type:
Not provided

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Salary:

154000.00 - 217000.00 USD / Year

Job Description:

Meta is seeking AI research scientists to help us build the solutions for Personalization of Meta AI. We're looking for researchers with LLM post training LLM expertise to join us on working with improving the personalization of LLM responses. Our team contributes to post training recipe, evaluations and tool calling for personalizing MetaAI’s responses. We are tackling complex challenges from synthetic data curation, developing reinforcement learning environments and recipes, user profiling at Meta’s scale and frontier paradigms that redefine what is possible.

Job Responsibility:

  • 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

Requirements:

  • 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

Nice to have:

  • 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)
What we offer:
  • bonus
  • equity
  • benefits

Additional Information:

Job Posted:
January 23, 2026

Job Link Share:

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