Meta Machine Learning Engineer Interview Preparation Guide - Mid Level (2-5 Years)

Meta's Machine Learning Engineer interview process for mid-level candidates consists of 7 interview rounds spanning 4-6 weeks. The process includes a recruiter screening, technical phone screen, followed by five onsite rounds covering coding, ML system design (with focus areas: problem navigation, training data, feature engineering, modeling, evaluation & deployment), and behavioral assessment. The interview evaluates your ability to design scalable ML systems, write production-quality code, understand ML fundamentals, and align with Meta's fast-paced, impact-driven culture.