Meta Research Scientist Interview Preparation Guide - Senior Level

Meta's Research Scientist interview process is a rigorous, multi-stage assessment designed to evaluate deep expertise in machine learning and AI research, research execution capability, collaboration skills, and cultural fit. The process typically consists of an initial recruiter screening, a technical phone screen, and a virtual onsite loop with 4-5 separate interviews conducted by senior researchers and cross-functional partners. Each round targets specific competencies including research presentation, machine learning theory and algorithms, experimental design and statistical rigor, system thinking, and leadership/collaboration. For Senior-level candidates, the bar is set high on originality of thinking, ability to define and own complex research problems end-to-end, and demonstrated impact on advancing the state of the art.