Apple Machine Learning Engineer Interview Preparation Guide - Entry Level
Machine Learning Engineer
Apple
entry
6 rounds
Updated 11/23/2025
Apple's Machine Learning Engineer interview process is designed to assess your ability to build, train, and deploy ML models that work on Apple devices used by millions. The interview spans multiple rounds evaluating technical depth across coding, ML fundamentals, system design, and cultural fit. Entry-level candidates should expect 5-6 rounds total focusing on foundational knowledge, problem-solving ability, and learning potential. The process typically lasts 4-6 weeks from initial recruiter contact to final offer decision.
Interview Rounds
1
Recruiter Screening
30 min3 focus topicsbehavioral
2
Technical Phone Screen
40 min4 focus topicstechnical
3
Onsite Interview Round 1: ML Fundamentals
60 min6 focus topicstechnical
4
Onsite Interview Round 2: Coding and Algorithms
60 min6 focus topicstechnical
5
Onsite Interview Round 3: Applied ML System Design
60 min6 focus topicssystem design
6
Onsite Interview Round 4: Behavioral and Cultural Fit
60 min6 focus topicsbehavioral
Additional Information