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Apple Machine Learning Engineer interview questions

based on 53 ratings - Updated May 22, 2026

Average interview difficulty

Mostly positive interview experience

How others got an interview

70%
Applied online
Applied online
13%
Employee Referral
Employee Referral
10%
Campus Recruiting
Campus Recruiting
3%
Recruiter
Recruiter
3%
Other
Other

Interview search

53 interviews

Machine Learning Engineer Interview

Jan 18, 2024

Anonymous Interview Candidate

No offer

Positive experience

Difficult interview

Application

I applied through an employee referral. The process took 1 day. I interviewed at Apple (Cupertino, CA) in Sep 2023

Interview

6 rounds of interviews. One round for algorithm coding problems for 1 hr. One round for machine learning coding problem for 1 hr. One round for system design. One round for behaviour questions. Two rounds for past project and system design.

Interview questions [1]

Question 1

System design for a ML system for their product.

Answer question

Machine Learning Engineer Interview

Oct 28, 2023

Anonymous employee

Accepted offer

Positive experience

Average interview

Application

I applied online. The process took 2 weeks. I interviewed at Apple (Cupertino, CA) in Sep 2023

Interview

First initial screen, 1 person interview. Asked domain specific questions and background check. Go through the resume and projects. Second round is a 2-day interview with 7 people. Asked coding, domain-specific questions.

Interview questions [1]

Question 1

coding and domain specific questions

Answer question

Machine Learning Engineer Interview

Jul 7, 2023

Anonymous Interview Candidate

No offer

Neutral experience

Average interview

Application

I applied online. The process took 2 weeks. I interviewed at Apple (Cupertino, CA)

Interview

First an initial conversation with the recruiter. Then, two technical interviews. First one was about ML fundamentals. The second one was a general coding interview. Each interview lasted 45 minutes.

Interview questions [1]

Question 1

Describe a few example neural network architectures for semantic segmentation, point out potential issues with each one and ways of improving them.

Answer question

Viewing 36 - 40 of 53 Interviews

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Apple Machine Learning Engineer interview questions

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Machine Learning Engineer Interview

Machine Learning Engineer Interview

Machine Learning Engineer Interview

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