DoorDash Staff-Level AI Engineer Interview Preparation Guide
AI Engineer
Doordash
Staff
8 rounds
Updated 11/23/2025
DoorDash uses a decentralized, team-specific interview process for staff-level candidates. The Staff-level AI Engineer interview combines an initial phone screening phase (recruiter and hiring manager rounds) with comprehensive onsite technical rounds. The process emphasizes system design mastery, deep expertise in neural networks and modern AI architectures, practical ML case studies, and cultural alignment with DoorDash values (ownership, impact, speed). Staff-level candidates are assessed on their ability to design large-scale AI systems, mentor junior engineers, and drive technical direction. AI usage during interviews is strictly prohibited but allowed during preparation.
Interview Rounds
1
Recruiter Screening
30 min3 focus topicsbehavioral
2
Hiring Manager Screen
60 min4 focus topicsbehavioral|technical
3
Technical Phone Screen - AI Algorithms & Implementation
60 min4 focus topicstechnical
4
System Design Interview - Large-Scale AI Systems
120 min6 focus topicssystem design
5
Onsite Round 1 - Deep Learning Fundamentals & Neural Network Design
75 min4 focus topicstechnical
6
Onsite Round 2 - NLP & Computer Vision Applications
75 min4 focus topicstechnical
7
Onsite Round 3 - ML Case Study & Experimentation
90 min5 focus topicscase study|technical
8
Behavioral & Cultural Fit Interview
60 min6 focus topicsbehavioral
Additional Information