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Machine Learning PhD Intern Interview Experience - Austin, Texas

March 11, 2014
Neutral ExperienceNo Offer

Process

Following a departmental email, I sent my details and CV to the person coordinating the hire.

A few days later, I was contacted to let me know my application was in and that they would schedule a phone screen. This happened a few days later (via email).

The phone screen was fairly general and non-technical, with questions like "What type of work have you done in the past? What type of work do you prefer doing?"

After the screen, I was contacted via email and an on-site half-day of interviews was scheduled (I live within driving distance of the Apple offices).

The interviews were half-technical (mostly data structures and algorithms questions, some general machine learning knowledge questions) and half-"touchy-feely" (e.g., "What is the project you've done that you like the most, and why? Why Apple?").

As of a week ago, I've been told the hiring process is still ongoing, and I am waiting for their final word.

Questions

There were some algorithmic questions. Basically, they described a case where you need to do a complicated search over large datasets. I solved the problem via k-d trees, which the reviewer seemed to like, but they ended up implementing a giant hash instead.

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Interview Statistics

The following metrics were computed from 1 interview experience for the Apple Machine Learning PhD Intern role in Austin, Texas.

Success Rate

0%
Pass Rate

Apple's interview process for their Machine Learning PhD Intern roles in Austin, Texas is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive0%
Neutral100%
Negative0%

Candidates reported having mixed feelings for Apple's Machine Learning PhD Intern interview process in Austin, Texas.

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