Machine Learning Engineer Interview Experience - Palo Alto, California
March 1, 2024
Neutral ExperienceGot Offer
Process
The interview consisted of four rounds: one behavioral and three technical. It was a very straightforward and smooth process. Apple largely sticks to the role description and the projects you've worked on.
Questions
What is my greatest strength and weakness?
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Interview Statistics
The following metrics were computed from 1 interview experience for the Apple Machine Learning Engineer role in Palo Alto, California.
Success Rate
0%
Pass Rate
Apple's interview process for their Machine Learning Engineer roles in Palo Alto, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral100%
Negative0%
Candidates reported having mixed feelings for Apple's Machine Learning Engineer interview process in Palo Alto, California.
Apple Work Experiences
4.0
Very product-driven and stimulating
Machine Learning Engineer • Current Employee
January 26, 2021
Pros: Nice and empathetic team and boss.
I feel I have room to explore data and innovate, but not too much.
My boss will pull me back down to earth and the product if I start getting too theoretical.
Cons: One of the teams I collaborated with was a little cut-throat. All the other teams were fine.
4.0
A mixed bag
Machine Learning Engineer • Current Employee
Hyderābād, Telangana, India
August 23, 2023
Pros: - Independence of planning and execution of work.
- Apple product discounts.
- One of the best RSU grants with equal half-yearly vesting frequency for 4 years.
Cons: - Cash compensation is not the best.
- No real office amenities/incentives.
- Employee benefits are mediocre when compared to other companies.
3.0
A top-down hardware company
Machine Learning Engineer • Former Employee
Cupertino, California, United States
January 4, 2023
Pros: Real user impact if you can land your project.
Cons: - Top-down culture
- Intransparency
- Limited flexibility
- Toxic culture if you are in IS&S
- 4.0Very product-driven and stimulatingMachine Learning Engineer • Current EmployeeJanuary 26, 2021Pros: Nice and empathetic team and boss. I feel I have room to explore data and innovate, but not too much. My boss will pull me back down to earth and the product if I start getting too theoretical.Cons: One of the teams I collaborated with was a little cut-throat. All the other teams were fine.
- 4.0A mixed bagMachine Learning Engineer • Current EmployeeHyderābād, Telangana, IndiaAugust 23, 2023Pros: - Independence of planning and execution of work. - Apple product discounts. - One of the best RSU grants with equal half-yearly vesting frequency for 4 years.Cons: - Cash compensation is not the best. - No real office amenities/incentives. - Employee benefits are mediocre when compared to other companies.
- 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
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