Optimize vector semantic search for an assistant
Company: Microsoft
Role: Machine Learning Engineer
Category: ML System Design
Difficulty: medium
Interview Round: Onsite
Quick Answer: This question evaluates a candidate's competency in designing production-grade vector semantic search systems, including embedding model selection and training, ANN indexing and sharding, hybrid keyword-plus-semantic retrieval and reranking, caching and latency optimization, multi-tenant isolation, and freshness-aware update pipelines.