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AI Research Scientist, Language - Generative AI

Meta · New York, NY

Spotted 1h ago

Job details

Level
Entry level
Experience
2+ years
Education
Bachelor's degree
Posted
Oct 30, 2026
Last confirmed open
Oct 30, 2026
Job description

About this role

Meta is seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in NLP or reinforcement learning; with experience in areas like LLM alignment; multilingual modeling; code generation; responsible AI; and model controllability.

The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release large language models.

Responsibilities

  • Lead, collaborate, and execute on research that pushes forward the state of the art in large language model research
  • Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
  • Work with a large and globally distributed team
  • Contribute to publications and open-sourcing efforts
  • Help identify long-term ambitious research goals as well as intermediate milestones
  • Prioritize research that can be applied to Meta's product development
  • Mentor other team members. Play a significant role in healthy cross-functional collaboration

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • A PhD in AI, computer science, or related technical fields
  • Experience holding an industry, faculty, or government researcher position
  • Publications in machine learning
  • Experience writing software and executing complex experiments involving large AI models and datasets
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Direct experience in generative AI and LLM research.
  • Experience developing and debugging in Python.
  • First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
  • 2+ year(s) of work experience in a university, industry, or government lab, in a role with primary emphasis on AI research.
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