DoorDash Applied Scientist (Junior Level) Interview Preparation Guide
Applied Scientist
Doordash
Junior
6 rounds
Updated 2/22/2026
DoorDash's interview process for applied ML roles combines recruiter screening, phone-based technical assessments (coding and problem-solving), and onsite rounds evaluating algorithmic skills, software engineering depth, ML system architecture thinking, and cultural fit. For junior level, expect 5-6 total rounds spanning 4-6 weeks, with emphasis on demonstrating solid fundamentals, hands-on implementation ability, and understanding of end-to-end ML systems in production.
Interview Rounds
1
Recruiter Screening
45 min4 focus topicsbehavioral
2
Technical Phone Screen – Coding Round 1 (Algorithmic Clarity)
60 min5 focus topicstechnical
3
Technical Phone Screen – Coding Round 2 (Software Design)
60 min4 focus topicstechnical
4
Onsite – ML System Design Round
75 min6 focus topicssystem design
5
Onsite – ML Concepts & Modeling Judgment Round
60 min5 focus topicstechnical
6
Onsite – Behavioral & Values Fit Round
50 min5 focus topicsbehavioral