Foundational AI Research Scientist - FAIR

Meta•Seattle, WA

About The Position

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.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
A PhD in AI, computer science, data science, or related technical fields
First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ICLR, ACL, EMNLP, and other similar venues, reflecting experience in LLM pretraining
1+ years experience holding an industry, postdoctoral, faculty, or government researcher position
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

Nice To Haves

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

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