Design Harmful Content Detection

Content moderation is the canonical classification question in ML system design interviews: multi-modal inputs, brutal class imbalance, expensive labels, high-stakes errors in both directions, and a business objective subtler than the obvious one. This walkthrough follows the Interview Framework for post moderation on a large social platform.