Meta is seeking Research Scientists 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/. Ideal candidates for these positions will have a track record in producing new science that is seminal to understanding intelligence, with particular experience in building and analyzing large-scale models for vision, language, speech, or general agents.
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
Qualifications
Currently has 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