Process
Two rounds of technical interviews, including coding and various questions.
Topics covered: Classic ML, Deep Learning, Natural Language Processing, and Image Processing.
Mathematical equations related to SVM, decision trees, random forests, and so on.
Understanding of work type and behavior.
Questions
Can Random Forest be used for regression?
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Interview Statistics
The following metrics were computed from 9 interview experiences for the Apple ML Engineer role in United States.
Success Rate
11%
Pass Rate
Apple's interview process for their ML Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive44%
Neutral33%
Negative22%
Candidates reported having good feelings for Apple's ML Engineer interview process in United States.
Apple Work Experiences
4.0
Good place to grow
ML Engineer • Current Employee
Cupertino, California, United States
October 11, 2025
Pros: Good work-life balance and growth if you work hard.
Cons: Culture is very team dependent.
4.0
Good WL balance
ML Engineer • Current Employee
Sunnyvale, California, United States
September 22, 2025
Pros: Good Work & Life Balance
Cons: Not too much. Depends on the team.
5.0
Great company
ML Engineer • Current Employee
Paris, France
August 25, 2025
Pros: A lot of autonomy, interesting projects, human managers.
Cons: A lot of pressure at work.
- 4.0Good place to growML Engineer • Current EmployeeCupertino, California, United StatesOctober 11, 2025Pros: Good work-life balance and growth if you work hard.Cons: Culture is very team dependent.
- 4.0Good WL balanceML Engineer • Current EmployeeSunnyvale, California, United StatesSeptember 22, 2025Pros: Good Work & Life BalanceCons: Not too much. Depends on the team.
- 5.0Great companyML Engineer • Current EmployeeParis, FranceAugust 25, 2025Pros: A lot of autonomy, interesting projects, human managers.Cons: A lot of pressure at work.
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