Netflix Machine Learning Engineer Interview Guide - Senior Level

Netflix's Machine Learning Engineer interview process for senior level candidates consists of multiple rounds designed to assess technical depth, system design thinking, ML theory, production expertise, and cultural fit. The process combines asynchronous assessments, technical phone screens, and onsite interviews with an emphasis on shipping models at scale to Netflix's 260+ million subscribers. Candidates are evaluated on their ability to translate research into production, handle ambiguity, and demonstrate impact across the full ML lifecycle from conception to monitoring.