Meta - Bellevue, WA
posted 4 months ago
Meta is seeking a Research Scientist to join the Ads Ranking team within the Monetization organization to advance the state-of-the-art in AI. This role is pivotal in shipping breakthrough Ads ranking models and infrastructure that enable multiple products through a combination of fundamental research, new machine learning tools, and platforms designed for reuse. The ideal candidate will be a recognized expert in key research areas such as Artificial Intelligence, Machine Learning, Computational Statistics, and Applied Mathematics. Specific topics of interest include Deep Learning, Computer Perception, Optimization, Reinforcement Learning, Representation Learning, Privacy in Machine Learning, security of AI systems, foundations of generative modeling, compression and information theory, and the social implications of AI. The successful candidate will have a strong interest in producing new scientific insights to understand intelligence and technology, aiming to enhance the capabilities of computers. Equally important is the ability to translate new research findings into practical applications that meet product needs. The mission of the Ads Ranking team is to cultivate enduring business growth and amplify efficiency through the development of cutting-edge AI technology that addresses complex monetization challenges while aligning with Meta's core business objectives. As a Research Scientist, you will help advance the science and technology of intelligent machines, perform research that enables the understanding of data semantics across various modalities (images, video, text, audio, etc.), and define both short and medium-term objectives for the Monetization organization. You will also be responsible for producing and presenting publications that influence the progress of AI or Machine Learning in relevant research communities, collaborating closely with cross-functional partners, and contributing to Meta's research product development. Additionally, you will design policies, processes, procedures, methods, tests, and components from inception for end-to-end systems.