Machine Learning Engineer Interview Experience - Cupertino, California
Process
First, an initial conversation with the recruiter. Then, two technical interviews. First one was about ML fundamentals. The second one was a general coding interview. Each interview lasted 45 minutes.
Questions
Describe a few example neural network architectures for semantic segmentation, point out potential issues with each one and ways of improving them.
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Interview Statistics
The following metrics were computed from 12 interview experiences for the Apple Machine Learning Engineer role in Cupertino, California.
Success Rate
Apple's interview process for their Machine Learning Engineer roles in Cupertino, California is very selective, failing most engineers who go through it.
Experience Rating
Candidates reported having very good feelings for Apple's Machine Learning Engineer interview process in Cupertino, California.
Apple Work Experiences
- 3.0Good work-life balance, but projects not deep enough for meMachine Learning Engineer • Current EmployeeCupertino, California, United StatesJune 17, 2022Pros: I've enjoyed a great work-life balance, with kind and cool managers and teammates.Cons: The data science projects available to me are not intellectually stimulating enough. I wish the data was bigger and more complex, so that it would be necessary to leverage some of the state-of-the-art techniques.
- 4.0Good pay, but culture is going downwardMachine Learning Engineer • Current EmployeeCupertino, California, United StatesSeptember 23, 2021Pros: TC is good if you are granted a large amount of RSUs.Cons: Micromanagement is prevalent in many teams due to a complex managerial hierarchy.
- 4.0Machine Learning EngineerMachine Learning Engineer • Current EmployeeCupertino, California, United StatesMarch 31, 2018Pros: Great team, great office, OK salary.Cons: A lot of internal politics, Secretive culture, Compensation could be better, No free food (only dinners from 7-8pm)
Apple Interview Questions
