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Design an Image Search System
Problem Formulation
The first thing you need to do in this interview is resist the urge to jump straight into CLIP and FAISS. Interviewers are watching to see if you can frame the problem correctly before you start architecting solutions. Spend the first few minutes here. It pays off.
Clarifying the ML Objective
ML framing: Given a text or image query, retrieve and rank images from a corpus of 10B+ items by semantic similarity to the query.
Continue with the full applied walkthrough
Continue Design an Image Search System with the applied case study, diagnostic checks, and the recommendation you would give a PM.
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