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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

2

Technical Phone Screen

3

Machine Learning Modeling and Feature Engineering

4

System Design for Machine Learning

5

Advanced Coding and Algorithm Challenge

6

Behavioral: Leadership and Collaboration

7

Domain-Specific ML and Final Technical Assessment

Additional Information

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