DoorDash Applied Scientist (Entry Level) Interview Preparation Guide
Applied Scientist
Doordash
entry
6 rounds
Updated 2/22/2026
DoorDash's Applied Scientist interview process for entry-level candidates evaluates foundational machine learning knowledge, research capability, and applied problem-solving skills. The process emphasizes understanding how ML systems work in production at marketplace scale, with particular attention to coding fundamentals, basic ML system reasoning, and learning agility. Entry-level candidates are expected to demonstrate clear thinking and fundamentals rather than prior production experience.
Interview Rounds
1
Recruiter Screening
30 min4 focus topicsbehavioral
2
Technical Screen: Coding and ML Reasoning
60 min4 focus topicstechnical
3
Onsite Round 1: Coding and Problem Solving
75 min3 focus topicstechnical
4
Onsite Round 2: Applied ML Problem Solving
75 min4 focus topicstechnical
5
Onsite Round 3: ML Systems and Production Thinking
75 min4 focus topicssystem design
6
Onsite Round 4: Behavioral and Culture Fit
50 min5 focus topicsbehavioral