Process
This is a summary of the first two rounds. The team was related to on device machine learning, where people were of systems and edge computing background. I cannot give more information because of privacy policies.
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Interview Statistics
The following metrics were computed from 15 interview experiences for the Apple ML Engineer role.
Success Rate
13%
Pass Rate
Apple's interview process for their ML Engineer roles is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive47%
Neutral27%
Negative27%
Candidates reported having good feelings for Apple's ML Engineer interview process.
Apple Work Experiences
5.0
Fast Projects, Tough Balance
ML Engineer • Former Employee
Santa Clara, California, United States
June 27, 2024
Pros: Apple has fast-paced projects and cross-team collaboration.
Cons: Work-life balance is not the greatest.
5.0
Exciting Work, Strict Rto
ML Engineer • Current Employee
February 9, 2023
Pros: Strong company with deep pockets. Exciting work.
Cons: Return to office policy. Nothing else.
4.0
Fast Learning, Little Help
ML Engineer • Former Employee
Austin, Texas, United States
September 7, 2024
Pros: Too fast, you get exposure to a lot of learning and upgrading your skills.
Cons: Not much help from employees.
- 5.0Fast Projects, Tough BalanceML Engineer • Former EmployeeSanta Clara, California, United StatesJune 27, 2024Pros: Apple has fast-paced projects and cross-team collaboration.Cons: Work-life balance is not the greatest.
- 5.0Exciting Work, Strict RtoML Engineer • Current EmployeeFebruary 9, 2023Pros: Strong company with deep pockets. Exciting work.Cons: Return to office policy. Nothing else.
- 4.0Fast Learning, Little HelpML Engineer • Former EmployeeAustin, Texas, United StatesSeptember 7, 2024Pros: Too fast, you get exposure to a lot of learning and upgrading your skills.Cons: Not much help from employees.
Apple Interview Questions
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