Design a Search Ranking System

Design an ML system that ranks search results for a web or e-commerce search engine. The system should understand query intent, handle ambiguous and misspelled queries, and balance relevance with business objectives (revenue, freshness). Consider the multi-stage retrieval pipeline, learning-to-rank approaches, and position bias in training data.