FAANG-Standard Interview Preparation Guide: Machine Learning Engineer (Junior Level)
This guide is based on general FAANG interview practices and may not reflect specific company procedures.
FAANG companies typically conduct a multi-stage interview process for junior ML engineers that spans 6-7 rounds across 4-6 weeks. The process begins with a recruiter screen to assess background and motivation, followed by a technical phone screen evaluating ML fundamentals and coding ability. On-site interviews then assess algorithmic problem-solving, ML system design thinking, production ML knowledge, and behavioral fit with company leadership principles. Each round increases in depth and assesses different dimensions of technical and soft skills. The entire process is designed to evaluate coding proficiency, ML conceptual understanding, system design thinking, production-readiness, and cultural fit.