Process
I had four HM interviews for four different positions over the course of a few months.
I never heard back from the first three.
After the last one, I received multiple requests for availability, but then never got any interview invites.
Strange experience.
Questions
behavioral, past experience, etc.
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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
Amazing and innovative company
Machine Learning Engineer • Current Employee
Austin, Texas, United States
January 26, 2025
Pros: Building solutions that have real positive impacts on the world.
Cons: There are no major cons to working at Apple, except maybe in some divisions it can get busy at times.
5.0
A great company is team dependent
Machine Learning Engineer • Current Employee
Santa Clara, California, United States
June 3, 2024
Pros: Exciting work in the ML domain.
Cons: Work and experience are highly team dependent.
4.0
Great Hardware, Bureaucratic Hurdles
Machine Learning Engineer • Current Employee
Seattle, Washington, United States
February 26, 2021
Pros: Best hardware around, relatively down-to-business work atmosphere.
Cons: Kind of bureaucratic. Have to get approval to access everything.
- 5.0Amazing and innovative companyMachine Learning Engineer • Current EmployeeAustin, Texas, United StatesJanuary 26, 2025Pros: Building solutions that have real positive impacts on the world.Cons: There are no major cons to working at Apple, except maybe in some divisions it can get busy at times.
- 5.0A great company is team dependentMachine Learning Engineer • Current EmployeeSanta Clara, California, United StatesJune 3, 2024Pros: Exciting work in the ML domain.Cons: Work and experience are highly team dependent.
- 4.0Great Hardware, Bureaucratic HurdlesMachine Learning Engineer • Current EmployeeSeattle, Washington, United StatesFebruary 26, 2021Pros: Best hardware around, relatively down-to-business work atmosphere.Cons: Kind of bureaucratic. Have to get approval to access everything.
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