Process
The process went smoothly. The interviewer first introduced his role and team and what the team is doing.
Then, he asked me to introduce my background and the projects that I have completed.
Some questions regarding my projects and experience in my CV followed, and he started asking some technical questions.
Questions
What is virtual in C++?
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Interview Statistics
The following metrics were computed from 36 interview experiences for the Apple Machine Learning Engineer role in United States.
Success Rate
11%
Pass Rate
Apple's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive44%
Neutral50%
Negative6%
Candidates reported having very good feelings for Apple's Machine Learning Engineer interview process in United States.
Apple Work Experiences
5.0
Talented Team, Little Time
Machine Learning Engineer • Current Employee
Sunnyvale, California, United States
August 16, 2023
Pros: work with a very talented pool of folks
Cons: Little time to experiment at times.
5.0
Interesting project in largest startup incubator
Machine Learning Engineer • Former Employee
Cupertino, California, United States
September 11, 2023
Pros: Apple is like a huge shark tank, i.e., teams try to "sell" their features to other teams.
Great compensation and perks.
Cons: Largest company in the world, so some things move slowly, which is kind of expected.
5.0
Ethical, Cutting Edge, Heavy Workload
Machine Learning Engineer • Current Employee
Sunnyvale, California, United States
January 16, 2023
Pros: Impactful, Quality, Ethical, Respectful, Cutting edge.
Cons: A heavy workload is fairly common.
- 5.0Talented Team, Little TimeMachine Learning Engineer • Current EmployeeSunnyvale, California, United StatesAugust 16, 2023Pros: work with a very talented pool of folksCons: Little time to experiment at times.
- 5.0Interesting project in largest startup incubatorMachine Learning Engineer • Former EmployeeCupertino, California, United StatesSeptember 11, 2023Pros: Apple is like a huge shark tank, i.e., teams try to "sell" their features to other teams. Great compensation and perks.Cons: Largest company in the world, so some things move slowly, which is kind of expected.
- 5.0Ethical, Cutting Edge, Heavy WorkloadMachine Learning Engineer • Current EmployeeSunnyvale, California, United StatesJanuary 16, 2023Pros: Impactful, Quality, Ethical, Respectful, Cutting edge.Cons: A heavy workload is fairly common.
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