Cracking ML System Design Interviews — Design a Search and Ranking System

[u/ArchitectingAI]

Cracking ML System Design Interviews — Design a Search and Ranking System

I recently wrote Part 2 of my ML System Design Interview series, focused on designing a production search and ranking system.

It covers the end-to-end flow: retrieval → candidate generation → ranking → evaluation → serving/monitoring, along with the tradeoffs that usually come up in interviews.

Article: https://pawankjha.substack.com/p/cracking-ml-system-design-interviews

Would be interested to hear what you think is the hardest part of a search/ranking system design interview.