Difficulty
Average
Candidate-reported interview insights
Apple Machine Learning Engineer interviews, decoded.
Explore commonly reported questions, interview rounds, difficulty, duration, and candidate experiences for the Machine Learning Engineer role at Apple.
4.1 rating Computer Hardware Development
Interview overview
Average rounds
3
Average duration
39.7 day average
Difficulty and candidate experience
Interview difficulty
easy13%
average63%
difficult23.9%
Candidate experience
positive53.8%
negative16.1%
neutral30.1%
Candidate-reported interview process
I have so far done the first round. The manager explained the two projects they want to do and let me ask my questions about them. I am waiting for the second round.
The interview itself is ok, but the process is very slow and recruiters are not orgonized, you have to chase them to get any response. They replied after 4 weeks for any updates.
They planned 2 technical rounds first and then a power day interview that has ML coding, Behavioural, FrontEnd, System Design and each of these rounds is 45 mins long.
Common Apple Machine Learning Engineer interview questions
A focused selection of the most detailed candidate-submitted questions.
- 1
What are 1D convolutions?
- 2
What is a good code base?
- 3
How to build a spaceship
- 4
Explain XGBoost in depth
Interview question formats
Technical36.4%
Behavioral27.7%
Coding21.1%
System Design7%
Other6.2%
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Interview information is based on candidate reports and may not represent the current official hiring process of Apple.