Process
I received a call from my manager.
They introduced the team and the role, and then asked me about a bunch of projects I have done before. The interview lasted around half an hour.
Questions
What is the BERT model, and why is it good?
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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
Great Managers, Stagnant Work
Machine Learning Engineer • Current Employee
Sunnyvale, California, United States
September 22, 2021
Pros: Good WLB.
Great managers.
Great perks.
Competitive pay.
Cons: Work can stagnate over time.
3.0
Your experience depends on what team you are in
Machine Learning Engineer • Current Employee
Cupertino, California, United States
May 12, 2020
Pros: Apple has some great perks, especially company-wide events.
You get adequate resources and tools, and some mentoring.
Cons: You can’t expect every team to perform well in a company this size.
The talent pool is generally less strong compared with other big tech companies, especially software.
3.0
Chaos and unhealthy culture in special projects
Machine Learning Engineer • Current Employee
November 26, 2017
Pros: - Good benefits
- Decent salary and RSUs
- Emphasis on good software process
Cons: - Very top-down flow of any work; no transparency; engineers do not know what and why a particular decision is made.
- Unnecessary high level of secrecy blocks engineers' minds from doing creative things.
- Playing catch-up in machine learning/AI.
- Unstable in machine learning projects due to managers who know nothing about recent machine learning trends.
- Culture promotes racial biases; no one questions why a particular decision of promotion or performance review was made.
- 5.0Great Managers, Stagnant WorkMachine Learning Engineer • Current EmployeeSunnyvale, California, United StatesSeptember 22, 2021Pros: Good WLB. Great managers. Great perks. Competitive pay.Cons: Work can stagnate over time.
- 3.0Your experience depends on what team you are inMachine Learning Engineer • Current EmployeeCupertino, California, United StatesMay 12, 2020Pros: Apple has some great perks, especially company-wide events. You get adequate resources and tools, and some mentoring.Cons: You can’t expect every team to perform well in a company this size. The talent pool is generally less strong compared with other big tech companies, especially software.
- 3.0Chaos and unhealthy culture in special projectsMachine Learning Engineer • Current EmployeeNovember 26, 2017Pros: - Good benefits - Decent salary and RSUs - Emphasis on good software processCons: - Very top-down flow of any work; no transparency; engineers do not know what and why a particular decision is made. - Unnecessary high level of secrecy blocks engineers' minds from doing creative things. - Playing catch-up in machine learning/AI. - Unstable in machine learning projects due to managers who know nothing about recent machine learning trends. - Culture promotes racial biases; no one questions why a particular decision of promotion or performance review was made.
Apple Interview Questions
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