Apple Machine Learning Engineer (Mid-Level) Interview Preparation Guide
Machine Learning Engineer
Apple
Mid Level
7 rounds
Updated 11/23/2025
Apple's Machine Learning Engineer interview process consists of a recruiter screening call, a technical phone screen, and multiple onsite rounds with engineers, tech leads, and data scientists. The process evaluates your ability to design and deploy machine learning models for real-world applications, with particular emphasis on on-device optimization, privacy preservation, and cross-functional collaboration. For mid-level candidates, expect a comprehensive assessment of your ML fundamentals, system design thinking, coding proficiency, and ability to own end-to-end projects.
Interview Rounds
1
Recruiter Screening
30 min4 focus topicsbehavioral
2
Technical Phone Screen
35 min4 focus topicstechnical
3
Onsite Round 1: ML & Coding Fundamentals
55 min4 focus topicstechnical
4
Onsite Round 2: System Design - On-Device ML Deployment
55 min5 focus topicssystem design
5
Onsite Round 3: Advanced ML Architecture & Optimization
55 min5 focus topicstechnical
6
Onsite Round 4: Cross-Functional Collaboration & Product Sense
55 min5 focus topicsbehavioral
7
Onsite Round 5: Behavioral & Cultural Alignment
55 min6 focus topicsbehavioral
Additional Information