Process
Six rounds in total: one behavioral, one with the hiring manager, and the other four technical.
The technical rounds can be a resume deep dive, a LeetCode question, or ML fundamentals.
Was this helpful?
Interview Statistics
The following metrics were computed from 55 interview experiences for the Apple Machine Learning Engineer role.
Success Rate
22%
Pass Rate
Apple's interview process for their Machine Learning Engineer roles is very selective, failing most engineers who go through it.
Experience Rating
Positive51%
Neutral40%
Negative9%
Candidates reported having very good feelings for Apple's Machine Learning Engineer interview process.
Apple Work Experiences
5.0
General Apple review
Machine Learning Engineer • Current Employee
Cupertino, California, United States
August 26, 2025
Pros: - Teammates from whom you can learn
- Job stability
- Good benefits
Cons: - Low visibility across organizations.
5.0
Good Support, Team Changes
Machine Learning Engineer • Current Employee
Cambridge, England, United Kingdom
May 21, 2022
Pros: Good support and good impact.
Cons: Restructuring of teams is inevitable, changing the directions of teams.
5.0
Ethical, Cutting Edge, Heavy Workload
Machine Learning Engineer • Current Employee
Sunnyvale, California, United States
January 16, 2023
Pros: Impactful, Quality, Ethical, Respectful, Cutting edge.
Cons: A heavy workload is fairly common.
- 5.0General Apple reviewMachine Learning Engineer • Current EmployeeCupertino, California, United StatesAugust 26, 2025Pros: - Teammates from whom you can learn - Job stability - Good benefitsCons: - Low visibility across organizations.
- 5.0Good Support, Team ChangesMachine Learning Engineer • Current EmployeeCambridge, England, United KingdomMay 21, 2022Pros: Good support and good impact.Cons: Restructuring of teams is inevitable, changing the directions of teams.
- 5.0Ethical, Cutting Edge, Heavy WorkloadMachine Learning Engineer • Current EmployeeSunnyvale, California, United StatesJanuary 16, 2023Pros: Impactful, Quality, Ethical, Respectful, Cutting edge.Cons: A heavy workload is fairly common.
Apple Interview Questions
Explore Interview QuestionsTaro 75Google Interview QuestionsMeta Interview QuestionsAmazon Interview QuestionsApple Interview QuestionsNetflix Interview Questions
Explore Interview ExperiencesOpenAI Interview ExperiencesAnthropic Interview ExperiencesPerplexity Interview ExperiencesWindsurf Interview ExperiencesMistral AI Interview Experiences
