Apple Machine Learning Engineer interview questions
Updated 22 May 2026
based on 53 ratings
Difficulty
Average
Experience
Mostly positive
How others got an interview
70%
Applied online
Applied online
13%
Employee referral
Employee referral
10%
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3%
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Recruiter
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Apple interviews FAQs
Candidates applying for Machine Learning Engineer roles take an average of 7 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Apple overall takes an average of 33 days.
Common stages of the interview process at Apple as a Machine Learning Engineer according to 1 Glassdoor interviews include:
Phone interview: 100%
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I applied online. I interviewed at Apple (Austin, TX) in Mar 2026
Interview
It was a 5 rounds of the interview. Interviewers were very polite and helpful. The questions were not too tricky. Leetcode part was easier than I thought. Focused more on basics.
An HR reached out and scheduled a BQ round immediately, talked to the hiring manager and focused on my resume in detail, then after that leetcode round and ml round
Interview process was an absolute joke. Interviewer was already discriminating against me because I was a new grad. First thing she told me despite already passing the technical screen was if I even felt comfortable doing the interview since I was a new grad and this interview is going to be very mid level focused and when I would go on to get the question right she would make up illogical statements like this is not the expectation we are looking for as “mid level” or I wanted you to answer it using an example from your experience or would just throw rapid fire questions on me without even letting me finish my anwser to the last question.
Interview questions [1]
Question 1
Explain how you would reduce latency for your model and why you would use an int quantization over something else