Visiting Researcher (AI), PhD Student

Meta is seeking a Visiting Researcher to join Meta AI (FAIR), a research organization focused on making significant progress in AI. Individuals in this role are expected to have educational background and publication record in identified research areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology to make computers more intelligent. Term length would be considered on a case-by-case basis.

Visiting Researcher (AI), PhD Student Responsibilities:

• Collaborate on research to advance the science and technology of intelligent machines.
• Collaborate on research that enables learning the semantics of data (images, video, text, audio, and other modalities).
• Contribute research that can be applied to Meta product development.
• Influence progress of relevant research communities by producing publications.
• Collaborate and increase productivity on existing FAIR projects as a contributing team member.

Minimum Qualifications:

• Currently in the process of obtaining a PhD degree in Computer Science or related field or relevant experience.
• Track record of publications that demonstrate experience in a quantitative domain.
• Experience collaborating within a team to solve analytical problems using quantitative approaches.
• Ability to manipulate and analyze high-volume, high-dimensionality data from varying sources.
• Ability to communicate research for public audiences of peers.
• Knowledge in a programming language.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications:

• First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ECCV, ICCV, ICML, ICLR).
• Experience conducting original research that can be applied to deep learning research at FAIR (e.g. physics, mathematics, robotics).