Apple Sr. Machine Learning Engineer interview questions
based on 6 ratings - Updated Apr 16, 2026
Averageinterview difficulty
Mixedinterview experience
How others got an interview
75%
Applied online
Applied online
25%
Employee Referral
Employee Referral
Interview search
6 interviews
Viewing 6 - 6 of 6 Interviews
Apple interviews FAQs
Sr. Machine Learning Engineer applicants have rated the interview process at Apple with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 25% positive. To compare, the company-average is 63.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Sr. Machine Learning Engineer roles take an average of 39 days to get hired, when considering 4 user submitted interviews for this role. To compare, the hiring process at Apple overall takes an average of 29 days.
Common stages of the interview process at Apple as a Sr. Machine Learning Engineer according to 4 Glassdoor interviews include:
Phone interview: 50%
One on one interview: 25%
Group panel interview: 13%
Skills test: 13%
Here are the most commonly searched roles for interview reports -
Recruiter reaches out. 1) Chat with the hiring manager 2) coding interview, 3) panel interview, mix of coding, ML Design All interviews were online. The recruiter can also send your interview to other teams if they see a fit
Interview questions [1]
Question 1
Why do you want to join Apple? Tell me about your past experience. How would you use a large language model to improve Apple customer personalization experience?