Amazon Machine Learning Engineer Interview Preparation Guide - Senior Level
Machine Learning Engineer
Amazon
Senior
7 rounds
Updated 11/23/2025
The Amazon Machine Learning Engineer interview process for Senior Level consists of an initial recruiter screening, a technical phone screen, and a comprehensive onsite loop of 5 interview rounds. The process evaluates candidates on DSA/coding proficiency, ML fundamentals and theory, system design capabilities for ML applications, and alignment with Amazon's Leadership Principles. Behavioral questions are woven throughout all technical rounds, with emphasis on ownership, innovation, and decision-making in ambiguous situations.
Interview Rounds
1
Recruiter Screening
30 min3 focus topicsculture fit
2
Technical Phone Screen
75 min5 focus topicstechnical
3
Onsite Round 1: Data Structures & Algorithms (Coding)
70 min5 focus topicstechnical
4
Onsite Round 2: Machine Learning Fundamentals & Theory
60 min6 focus topicstechnical
5
Onsite Round 3: ML System Design - End-to-End Pipeline
70 min6 focus topicssystem design
6
Onsite Round 4: Advanced ML System Design & Scaling
70 min5 focus topicssystem design
7
Onsite Round 5: Behavioral & Leadership Principles (Bar Raiser)
50 min6 focus topicsbehavioral
Additional Information