DoorDash Machine Learning Engineer Interview Preparation Guide - Senior Level
Machine Learning Engineer
Doordash
Senior
7 rounds
Updated 11/23/2025
DoorDash's ML Engineer interview process for senior-level candidates typically consists of 7 interview stages spanning 4-6 weeks. The process begins with a recruiter screening focused on career motivation and cultural fit, followed by a technical phone screen covering live coding and ML fundamentals. Qualified candidates advance to an onsite assessment comprising 5 rounds that evaluate ML modeling expertise, system design capabilities, advanced problem-solving, leadership qualities, and domain-specific knowledge. The company values 'ownership-first' and 'experiment rapidly' principles, seeking engineers who can drive impact from research to production.
Interview Rounds
1
Recruiter Screening
30 min4 focus topicsbehavioral
2
Technical Phone Screen
60 min4 focus topicstechnical
3
Machine Learning Modeling and Feature Engineering
75 min5 focus topicstechnical
4
System Design for Machine Learning
90 min5 focus topicssystem design
5
Advanced Coding and Algorithm Challenge
75 min3 focus topicstechnical
6
Behavioral: Leadership and Collaboration
60 min5 focus topicsbehavioral
7
Domain-Specific ML and Final Technical Assessment
75 min5 focus topicstechnical
Additional Information