Central Applied Science establishes state-of-the-art scientific advancements for Meta's products and systems. The team's expertise spans many domains including AI/ML, statistics, economics, network science and mathematical optimization. We own tooling and libraries, develop methodologies, design and prototype solutions, and partner across Meta to launch these solutions such that 3 billion people and 10 million advertisers can benefit. We seek Research Scientists to identify new opportunities and help build scientifically rigorous systems focused on enabling new capabilities and improved performance. This role focuses on Meta’s large scale machine learning and analytics systems for Meta's products across Facebook, Instagram, WhatsApp, Messenger, and Reality Labs. Our team's applied research includes incorporating approaches such as differential privacy for large scale model training, designing effective attacks, and evaluating practical risks in various applications including recommendation systems and generative models. We also pursue advancements in federated learning and on-device processing, where client-side applications include recommender systems for advertising and organic content, generative AI experiences, models, text prediction, and scene understanding.