Fundamental AI Research Scientist, FAIR (PhD)

Meta is seeking a Research Scientist 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 https://ai.meta.com/.

Fundamental AI Research Scientist, FAIR (PhD) 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, 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.

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 Qualifications:

• First-authored publications at peer-reviewed conferences, such as ICML, NeurIPS, ICLR, and other similar venues
• Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions.
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
• Experience collaborating in a team environment on research projects
• Experience communicating research for public audiences of peers.

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