ML Engineer applicants have rated the interview process at Apple with 4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 63.2% positive. This is according to Glassdoor user ratings.
Here are the most commonly searched roles for interview reports -
I applied online. The process took 4 weeks. I interviewed at Apple (New York, NY) in Jan 2023
Interview
leetcode - binary search, p queue, heap ml basics - linear reg, log reg, sigmoid, softmax, backprop, grad desc, bias and var, knn, k means dl basics - dnn, cnn, rnn, transformer
Interview questions [1]
Question 1
leetcode - binary search, p queue, heap ml basics - linear reg, log reg, sigmoid, softmax, backprop, grad desc, bias and var, knn, k means dl basics - dnn, cnn, rnn, transformer
The process was fine, the role didn't seem a fit for my skills but was still called for the interview. The interviewer couldn't share much about the team's work either.
Interview questions [1]
Question 1
Confidential questions, signed an NDA. The interviewer couldn't share much about the team's work either.
Asked about json file manipulation and statistic median questions in Python and hiring manager round will be your background experiences in ML and some deep learning knowledge and machine learning knowledge.
Interview questions [1]
Question 1
Nested Json file manipulation and statistics coding