Foundational AI Research Scientist - FAIR

Meta is seeking Research Scientists to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in AI. The team is focused on industrial leading research on building new architectures and training paradigms to push the frontier of advanced machine intelligence. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics. 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. They will work with an interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.

Foundational AI Research Scientist - FAIR Responsibilities:

• Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities)
• Perform research to advance the science and technology of intelligent machines
• Work towards long-term ambitious research goals, while identifying intermediate milestones
• Influence progress of relevant research communities by producing publications
• Open source high quality code and produce reproducible research

Minimum Qualifications:

• First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ICLR, ACL, EMNLP, and other similar venues, reflecting experience in LLM pretraining
• Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas
• Experience in developing and debugging in Python or similar programming languages
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

• Research and engineering experience demonstrated via publications, grants, fellowships, patents, internships, work experience, open source code, and / or coding competitions
• Experience collaborating in a team environment on research projects
• Experience in developing optimization algorithms and theory, new architectures, and generative AI

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.