Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research (FAIR), a research organization focused on making fundamental progress in AI. Individuals in this role are expected to conduct cutting-edge research in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including topics such as deep learning, computer perception, natural language processing, representation learning, optimization, reinforcement learning, privacy in machine learning, security of AI systems, foundations of generative modeling, compression and information theory, and social implications of AI. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology towards achieving advanced machine intelligence.

• Perform research to advance the science and technology of intelligent machines.
• Collaborate with your supervisor and other researchers to discuss, develop and implement research agenda.
• Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).
• Influence progress of relevant research communities by producing high-quality publications.
• Open source research code and conduct reproducible research.

• Currently has or is in the process of obtaining a PhD degree in Computer Science or a similar field. Degree must be completed prior to joining Meta.
• Research background in machine learning, natural language processing, computer vision, computational statistics, applied mathematics, or related areas.
• Track record of recent and consistent publications reflecting expertise in theoretical and/or empirical research.
• Experience solving analytical problems using analytic and quantitative approaches.
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

• First-authored publications at peer-reviewed conferences (ICML, ICLR, NeurIPS, CVPR, ECCV, ICCV, ACL, NAACL, EMNLP, or similar).
• Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions.
• Experience communicating research for public audiences of peers. Experience working and communicating cross functionally in a team environment.
• Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward.