Process
I applied online.
I was asked ML system questions like explaining the transformer architecture and other CV-specific QAs. There were two phases: the first was 45 minutes and the second one was 60 minutes. It included ML theory-related questions and some coding exercises.
Questions
To explain the transformer architecture, and other CV-specific QAs.
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Interview Statistics
The following metrics were computed from 3 interview experiences for the Apple ML intern role.
Success Rate
0%
Pass Rate
Apple's interview process for their ML intern roles is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral100%
Negative0%
Candidates reported having mixed feelings for Apple's ML intern interview process.
Apple Work Experiences
5.0
Great internship experience
ML intern • Former Employee
Seattle, Washington, United States
January 23, 2024
Pros: Good people, interesting projects, nice offices, good work-life balance.
Cons: Not as fast-paced as startups.
5.0
Amazing Team And Mentorship
ML intern • Former Employee
Cupertino, California, United States
September 8, 2023
Pros: Amazing team.
Amazing mentorship.
Amazing project.
Cons: Most of the work is under NDA so it cannot be discussed.
4.0
Interesting Projects, Bleak Ml Future
ML intern • Current Employee
Cupertino, California, United States
January 2, 2022
Pros: The projects were interesting for small applications.
Cons: The overall direction for ML looked bleak at best.
- 5.0Great internship experienceML intern • Former EmployeeSeattle, Washington, United StatesJanuary 23, 2024Pros: Good people, interesting projects, nice offices, good work-life balance.Cons: Not as fast-paced as startups.
- 5.0Amazing Team And MentorshipML intern • Former EmployeeCupertino, California, United StatesSeptember 8, 2023Pros: Amazing team. Amazing mentorship. Amazing project.Cons: Most of the work is under NDA so it cannot be discussed.
- 4.0Interesting Projects, Bleak Ml FutureML intern • Current EmployeeCupertino, California, United StatesJanuary 2, 2022Pros: The projects were interesting for small applications.Cons: The overall direction for ML looked bleak at best.
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