Fundamental AI Research Scientist, NLP - Fair

Meta is seeking Research Scientists to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in AI. We publish groundbreaking papers and release frameworks/libraries that are widely used in the open-source community.

Recent examples include the LLaMa family of Large Language Models (LLMs) and tool-augmented language models. We also collaborate with the Meta Generative AI and other organizations to bring the latest research findings to production . We are currently seeking talented researchers with experience in NLP to work with us on extending the capabilities of multimodal (vision+language) reasoning. Researchers will drive impact by: (1) publishing state-of-the-art research papers, (2) open sourcing high quality code and reproducible results for the community, and (3) bringing the latest research to Meta products for connecting billions of users. The chosen candidate(s) will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.

Fundamental AI Research Scientist, NLP - FAIR Responsibilities

• Pursue research that extends the capabilities of foundation models through reasoning and the use of tools.

Work towards long-term ambitious research goals, while identifying intermediate milestones.

Influence progress of relevant research communities by producing publications.

Contribute research that can be applied to Meta product development.

Collaborate on research projects within a globally based team.

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

PhD in the field of NLP and or Machine Learning.

First-author publications at peer-reviewed NLP conferences (e.g. *ACL, EMNLP, NeurIPS, ICML, ICLR).

Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use.

Familiarity with one or more deep learning frameworks (e.g. pytorch, tensorflow, …)

Experience to communicate complex research for public audiences of peers.

Knowledge in a programming language.

Preferred Qualifications

• High-impact publications at peer-reviewed AI conferences (e.g. *ACL, EMNLP, NeurIPS, ICML, ICLR), as evidenced by citations and other signs of influencing the research community.
  2+ years of experience holding an industry, faculty, or government researcher position.

Experience in AI research beyond completing a PhD.

Experience in developing and debugging beyond ML experimentation.

Experience in working in an industry research environment.

Experience in coordinating the research of PhD students or other researchers.

Experience in first person egocentric video, joint video language learning, LLMs or HCI.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

Locations

About 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 accommodations-ext@fb.com.

$143,000/year to $208,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.

In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.