Design a Store Recommendation System and Explain ML Trade-offs
Company: DoorDash
Role: Software Engineer
Category: ML System Design
Difficulty: medium
Interview Round: Onsite
Overview: Practice a DoorDash machine learning interview question about design a store recommendation system and explain ml trade-offs. The prompt covers objective framing, data assumptions, evaluation, trade-offs, and production risks without giving away the answer.