Intern Machine Learning applicants have rated the interview process at Apple with 3.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 73% positive. To compare, the company-average is 63.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Intern Machine Learning roles take an average of 19 days to get hired, when considering 11 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 Intern Machine Learning according to 11 Glassdoor interviews include:
One on one interview: 42%
Phone interview: 25%
Presentation: 17%
Skills test: 17%
Here are the most commonly searched roles for interview reports -
Firstly screening interview with the HR, and then 2 or 3 rounds of tech interview. If you can pass all the above interviews, you'll get a chance to talk with the team leader.
I applied online. I interviewed at Apple (Cupertino, CA) in Nov 2025
Interview
Recruiter reached out via email after applying. Engineering manager interview for 45 min. Then 2 final round technical interviews. 45 min each. 1 open ended question and 1 coding question.
Interview questions [1]
Question 1
How I would implement a ML feature on apple devices
I applied online. The process took 2 weeks. I interviewed at Apple (Sunnyvale, CA) in Feb 2025
Interview
After a recruiter reached out to me, the process moved quickly. I completed two interviews—both of which went very well—and shortly afterward, I received an offer. The entire experience was smooth, efficient, and surprisingly fast.
Interview questions [1]
Question 1
1. Medium-level LeetCode graph and binary trees problems
2. Usual data science analyze data kinda problems