Machine Learning Engineer Interview Experience - Cupertino, California
September 1, 2023
Positive ExperienceNo Offer
Process
6 rounds of interviews.
- One round for algorithm coding problems for 1 hour.
- One round for machine learning coding problems for 1 hour.
- One round for system design.
- One round for behavioral questions.
- Two rounds for past projects and system design.
Questions
System design for an ML system for their product.
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Interview Statistics
The following metrics were computed from 12 interview experiences for the Apple Machine Learning Engineer role in Cupertino, California.
Success Rate
25%
Pass Rate
Apple's interview process for their Machine Learning Engineer roles in Cupertino, California is very selective, failing most engineers who go through it.
Experience Rating
Positive50%
Neutral50%
Negative0%
Candidates reported having very good feelings for Apple's Machine Learning Engineer interview process in Cupertino, California.
Apple Work Experiences
3.0
Generally, a company full of politics
Machine Learning Engineer • Current Employee
Cupertino, California, United States
February 5, 2025
Pros: You can use the platform to implement SoTA algorithms.
Cons: Too many political dogfights.
4.0
Good Pay, Legacy Code
Machine Learning Engineer • Current Employee
Cupertino, California, United States
January 9, 2022
Pros: Good pay.
Good management.
Work on major, influential products.
Excellent on a resume.
Great work-life balance (varies by team).
Cons: Significant amount of legacy code and infra.
Secrecy and divisions are siloed.
Pay not the best (possibly due to brand).
Mediocre benefits.
Top-down management.
5.0
Impactful place to work
Machine Learning Engineer • Current Employee
Cupertino, California, United States
February 22, 2020
Pros: Your work is deployed worldwide, and it can happen faster than you think. Being detail-oriented is crucial to your performance and happiness here.
Cons: The culture varies significantly among teams. Some teams support employees beautifully, while others do not.
- 3.0Generally, a company full of politicsMachine Learning Engineer • Current EmployeeCupertino, California, United StatesFebruary 5, 2025Pros: You can use the platform to implement SoTA algorithms.Cons: Too many political dogfights.
- 4.0Good Pay, Legacy CodeMachine Learning Engineer • Current EmployeeCupertino, California, United StatesJanuary 9, 2022Pros: Good pay. Good management. Work on major, influential products. Excellent on a resume. Great work-life balance (varies by team).Cons: Significant amount of legacy code and infra. Secrecy and divisions are siloed. Pay not the best (possibly due to brand). Mediocre benefits. Top-down management.
- 5.0Impactful place to workMachine Learning Engineer • Current EmployeeCupertino, California, United StatesFebruary 22, 2020Pros: Your work is deployed worldwide, and it can happen faster than you think. Being detail-oriented is crucial to your performance and happiness here.Cons: The culture varies significantly among teams. Some teams support employees beautifully, while others do not.
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