Central Applied Science (CAS) is a research and development team, working to improve Meta’s products, infrastructure, and processes. We generate real-world impact through a combination of scientific rigor and methodological innovation. Our focus is on longer-term, foundational work that addresses new opportunities and challenges across the Meta family of apps. The work we do enhances the Meta family of apps that enable billions of people to communicate with each other daily. Central Applied Science is interdisciplinary, with expertise in computer science, statistics, machine learning, economics, political science, operations research, marketing science and sociology, among many other fields. This diversity of perspectives enriches our research and expands the scope and scale of projects we can address. We deliver value through collaborative projects with other groups at Meta and with the academic community. In addition, we build and open-source technical products aligned with our areas of expertise. The Graph Science and Statistics team within Central Applied Science is looking for PhD research interns with expertise in statistical modeling, representation learning or network science. The team works closely with various product groups throughout Meta, bringing expertise in statistical methodology for model evaluation and bias correction, graph and representation learning, network science, and GenAI model development and applications. We solve critical problems that enable Meta to make robust and trustworthy strategic decisions and build products that best serve and protect their users. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.