Research Scientist - FAIR

Meta is seeking Research Scientists, at all experience levels, to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI.

Individuals in this role are expected to be world-leading experts in research areas such as ML theory, responsible AI, reinforcement learning, computer vision, audio, and/or NLP.

To learn more about our research, visit

Responsibilities:

Research Scientist - FAIR Responsibilities:

Perform research to advance the science and technology of intelligent machines

Perform research that enables learning the semantics of data (images, video, text, audio, codegen, and other modalities)

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

Influence progress of relevant research communities by producing publications

Open source high quality code and produce reproducible research

Qualification and experience:

Minimum Qualifications:

Currently has or is in the process of obtaining a PhD degree in the field of Computer Science, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas

Research publications reflecting experience in theoretical or empirical research

Experience in developing and debugging in Python or similar programming languages

Experience in analyzing and collecting data from various sources

Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred:

Preferred Qualifications:

Experience collaborating in a team environment on research projects

Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions.

First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ACL, EMNLP, ICLR, FacCT, CCS, IEEE S&P, and other similar venues

Experience communicating research for public audiences of peers.

Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.