Netflix Machine Learning Engineer (Mid-Level) - Comprehensive Interview Preparation Guide

Netflix's ML Engineer interview process evaluates your ability to design and deploy scalable machine learning systems serving hundreds of millions of users. The interview consists of a recruiter screening, take-home modeling assessment, technical phone screens, and multiple onsite rounds covering system design, advanced coding, ML theory, and behavioral fit. Netflix emphasizes production-scale thinking, end-to-end project ownership, understanding of distributed systems, and alignment with their Freedom & Responsibility culture. The process assesses both technical depth and your ability to make pragmatic trade-offs between model complexity, latency, and maintainability.