Doordash Machine Learning Engineer Interview Questions
Practice the exact questions companies are asking right now.
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Minimize batches and allocate riders by time
Coding prompts (same interview round) 1) Minimum number of batches for time points You are given a list of event time points (integers), e.g. [1, 3, 5...
Design personalized restaurant search and recommendations
Scenario You are designing a DoorDash-like personalized restaurant recommendation system. A user types a free-text query (e.g., “spicy ramen under $20...
Find closest value to a target in a BST
Problem Given the root of a binary search tree (BST) and a floating-point number target, return the value in the BST that is closest to target. If the...
Design a scalable recommendation serving system
Scenario You are designing the online serving infrastructure for a large-scale recommendation system (e.g., a delivery app or e-commerce feed). The in...
Discuss ML infrastructure fundamentals
ML System Design: Infra Stack, Feature Store, Reproducibility, and Monitoring Context: You are designing and operating a machine learning platform tha...
How would you target promotions to grow consumers?
ML / Growth Scenario You own a system that sends promotion offers (e.g., "$10 off", "free delivery") to consumers to increase growth. Prompt Design an...
How would you prevent wrong items in deliveries?
Behavioral / Product-Process Scenario You work on a food delivery platform. Customers sometimes receive the wrong items (restaurant packed incorrectly...