Netflix Machine Learning Engineer Interview Preparation Guide - Junior Level

Netflix's Machine Learning Engineer interview process evaluates your ability to design and implement real-time ML systems, write production-grade code, understand ML theory deeply, and collaborate effectively with cross-functional teams. For Junior Level (1-2 years), the process emphasizes solid ML fundamentals, hands-on implementation skills, practical production awareness, and alignment with Netflix's Freedom & Responsibility culture. The interview consists of an initial recruiter screen, a technical phone screen with take-home modeling and live coding components, and four onsite rounds covering system design, algorithmic coding, ML theory & statistics, and behavioral assessment. Total duration is approximately 4-6 weeks of preparation.