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Meta

Research Scientist, Generative AI (PhD)

location icon Menlo Park, CA | Seattle, WA | New York City
Full Time
Meta is seeking a Research Scientist to join our new Large Language Model (LLM) Research team. We are looking for recognized experts in generative AI and NLP, with experience in areas like language model evaluation; data processing for pretraining and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. The ideal candidate will have an interest in producing and applying new science to help us develop and deploy large language models.Research Scientist, Generative AI (PhD) 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.
  • Play a significant role in healthy cross-functional collaboration.
Minimum Qualifications
  • Currently has, or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields.
  • Experience writing software and executing complex experiments involving large AI models and datasets.
  • Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics.
  • Direct experience in generative AI and LLM research.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Preferred Qualifications
  • 2+ years of work experience in a university or industry lab, in a role with primary emphasis on AI research.
  • First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
  • Experience in developing and debugging in Python.
  • Experience working with PyTorch or TensorFlow.
LocationsAbout Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to [email protected]. 117.000 $/year to 173.000 $/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
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