Research Scientist, Infrastructure Modeling and Reliability

Meta builds technologies that help people connect, find communities, and grow businesses. Meta's infrastructure supports services used by billions of people, and operating that infrastructure efficiently requires increasingly sophisticated modeling of demand, utilization, reliability, and physical resource constraints.

We are seeking an experienced Research Scientist or Applied Scientist to define and build new modeling approaches for power utilization across Meta's infrastructure. This role will lead the development of statistical and machine learning models that monitor power consumption, project peak demand, quantify uncertainty, and inform how Meta maximizes usable power within failure domains while maintaining target reliability levels. Qualified candidates will have has deep experience modeling high-dimensional, noisy, and interdependent systems, and has demonstrated the ability to translate scientific advances into production systems that influence large-scale infrastructure strategy.