Amazon Machine Learning Engineer Interview Preparation Guide (Mid-Level)
Machine Learning Engineer
Amazon
Mid Level
6 rounds
Updated 11/23/2025
Amazon's Machine Learning Engineer interview process for mid-level candidates consists of a recruiter screening phase, followed by a technical phone screen, and a comprehensive onsite loop spanning 4 interview rounds. The process evaluates technical depth in ML algorithms and system design, coding proficiency, production ML experience, and alignment with Amazon's Leadership Principles. The entire process typically lasts 4-6 weeks from initial contact to offer decision.
Interview Rounds
1
Recruiter Screening
30 min3 focus topicsculture fit
2
Technical Phone Screen
60 min5 focus topicstechnical
3
Onsite Round 1: ML Fundamentals and Theory
60 min6 focus topicstechnical
4
Onsite Round 2: Machine Learning System Design
60 min6 focus topicssystem design
5
Onsite Round 3: Coding and Data Structures
60 min4 focus topicstechnical
6
Onsite Round 4: Behavioral and Amazon Leadership Principles
60 min6 focus topicsbehavioral
Additional Information