Research Scientist, Applied Computer Vision

Meta is seeking an Applied Research Scientist to join our AI organization. Individuals in this role are expected to be recognized experts in 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 an interest in producing new science to understand intelligence and technology to make computers more intelligent, and an equal interest in taking new research findings in this area and implementing it towards production ready problems.

• Help Advance the science and technology of intelligent machines
• Contribute to research that enables learning the semantics of data (images, video, text, audio and other modalities)
• Work on projects, strategies, and problems of moderate to high complexity and scope. Can identify and define both short & medium term objectives
• Design policies, processes, procedures, methods, tests, and/or components, from the ground up and with the understanding of how to put together end-to-end systems
• Independently lead projects and work cross-functionally to bring research advancements to production teams and Meta Products
• Influence progress of relevant research communities by producing publications
• Devise better data-driven models of human behavior

• Experience holding a faculty, industry, or government researcher position
• Publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
• Experience leading a team in solving modeling problems using AI/ML approaches
• Experience in applying research to production problems
• Experience communicating research for public audiences of peers
• Knowledge in a programming language
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

• 1+ years of work experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research
• Experience driving original scholarship in collaboration with a team
• Experience showing first-author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
• Experience in developing and debugging in C/C++, Python, or C#