Machine Learning Engineer Interview Experience - United Kingdom
Process
Applied through the company's carrier website.
After one month, I was contacted for an interview. The interview process took about two months and consisted of three separate sessions:
- One homework assignment
- One phone interview
- One full-day on-site interview
I didn't rush through it, so it could have been slightly faster if I had wanted.
I received an offer after less than a week.
Questions
The phone screening stage covered basic, generic ML questions.
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Interview Statistics
The following metrics were computed from 3 interview experiences for the Apple Machine Learning Engineer role in United Kingdom.
Success Rate
Apple's interview process for their Machine Learning Engineer roles in the United Kingdom is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Candidates reported having very good feelings for Apple's Machine Learning Engineer interview process in United Kingdom.
Apple Work Experiences
- 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.
- 3.0A top-down hardware companyMachine Learning Engineer • Former EmployeeCupertino, California, United StatesJanuary 4, 2023Pros: Real user impact if you can land your project.Cons: - Top-down culture - Intransparency - Limited flexibility - Toxic culture if you are in IS&S
- 4.0You can work on multiple thingsMachine Learning Engineer • Current EmployeeCupertino, California, United StatesApril 10, 2023Pros: Apple is a very diversified company. In some teams, you get to work on both hardware and software. If you are a person with diversified skills and backgrounds, Apple is the company for you.Cons: Presentation culture is tough. Everything you create needs to have a good story behind it.
Apple Interview Questions
