ML system design interviews test your ability to reason through the full lifecycle of a production ML system from problem framing and data pipelines to model architecture, deployment, and monitoring.
Every ML system has two paths to design: an offline training path and an online serving path. Keeping these consistent is one of the hardest challenges in...