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Machine Learning Engineer Interview Experience - Cupertino, California

April 1, 2020
Neutral ExperienceNo Offer

Process

The interview consisted of two phone screens.

It started with a Data Structures and Algorithms (DSA) evaluation through a shared CoderPad screen. The questions were LeetCode medium level in difficulty. I was also asked about the implementation of some Machine Learning (ML) concepts. The recruiter took over a month to follow up.

Round 2 tested ML knowledge and past experience. The questions focused on core concepts and involved discussion with the interviewer.

I was able to get through most questions, but the interviewer was likely looking for more in-depth explanations. I did not make it to the onsite.

Questions

Implement batch norm using NumPy.

Explain the working of a bounding box regressor in object detection.

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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

25%
Pass 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

Positive50%
Neutral50%
Negative0%

Candidates reported having very good feelings for Apple's Machine Learning Engineer interview process in Cupertino, California.

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