Onsite

Onsite ML System Design for the Home Feed Recommender

DoorDashData Scientist · Onsite · Feb 2026

Problem background: design a store recommendation system similar to the app's home page. Interview process & core follow-ups: Overall architecture and hard constraints The scenario given right away was home page recommendation. User input is extremely sparse — basically just the User ID and current location. The system has a couple of hard constraints: the stores surfaced must be within delivery…

Shared by a candidate · reported Feb 2026. Interview formats change; use it as a guide, not a script.