Machine Learning Engineer Interview Experience - Switzerland
October 1, 2020
Neutral ExperienceNo Offer
Process
About one hour of Zoom during which I was asked a lot about details of past projects, with a heavy focus on state-of-the-art computer vision deep learning.
Afterwards, a few more general questions on coding skills and experience, as well as ML models.
Questions
How would you design a model to efficiently detect objects in a given frame?
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Interview Statistics
The following metrics were computed from 3 interview experiences for the Apple Machine Learning Engineer role in Switzerland.
Success Rate
33%
Pass Rate
Apple's interview process for their Machine Learning Engineer roles in Switzerland is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Positive33%
Neutral33%
Negative33%
Candidates reported having mixed feelings for Apple's Machine Learning Engineer interview process in Switzerland.
Apple Work Experiences
4.0
Stable Pay, Limited Growth
Machine Learning Engineer • Current Employee
San Diego, California, United States
April 21, 2025
Pros: Easy work, relatively high and stable pay, not a risk of layoff.
Cons: There is not much room for growth at Apple. They care too much about visibility, DEI, and...
5.0
Difficult to get in, very interesting projects
Machine Learning Engineer • Current Employee
Zürich, Switzerland
November 12, 2024
Pros: - Great salary
- Good work-life balance
- Nice benefits
Cons: - Late evening meetings
- No cafeteria
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.
- 4.0Stable Pay, Limited GrowthMachine Learning Engineer • Current EmployeeSan Diego, California, United StatesApril 21, 2025Pros: Easy work, relatively high and stable pay, not a risk of layoff.Cons: There is not much room for growth at Apple. They care too much about visibility, DEI, and...
- 5.0Difficult to get in, very interesting projectsMachine Learning Engineer • Current EmployeeZürich, SwitzerlandNovember 12, 2024Pros: - Great salary - Good work-life balance - Nice benefitsCons: - Late evening meetings - No cafeteria
- 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.
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