Meta Research Scientist Interview Preparation Guide - Entry Level

Meta's Research Scientist interview process is a structured, multi-stage evaluation designed to assess research capability, mathematical rigor, coding proficiency, and cultural alignment. The process begins with recruiter screening, followed by a technical phone screen, and culminates in a virtual onsite loop (4-5 interviews) focusing on research problem-solving, statistical rigor, implementation skills, and behavioral competencies. Entry-level candidates are evaluated primarily on foundational research skills, ability to formulate research questions, understanding of ML/AI fundamentals, and communication clarity rather than prior publication record or mentorship experience.