Design Personalized Product Feeds
Company: Shopify
Role: Machine Learning Engineer
Category: ML System Design
Difficulty: medium
Interview Round: Onsite
Design an ML system for personalized product feeds in an e-commerce application. For each user request, the system should return a ranked feed of products that are relevant, available, diverse, and fresh. Discuss the end-to-end architecture, including data collection, candidate generation, feature pipelines, model training, online serving, re-ranking, experimentation, monitoring, reliability, and how you would handle cold-start users or products.
Overview: This question evaluates a candidate's ability to design end-to-end machine learning systems for personalized product recommendation, assessing competencies in data collection, candidate generation, feature pipelines, model training, online serving, and re-ranking.
Read the full Shopify Machine Learning Engineer interview experience this question came from
