Machine Learning Engineer Interview Experience - Cupertino, California
October 3, 2025
Neutral ExperienceNo Offer
Process
Initial tech screen (45 minutes in CoderPad with some small ML-related coding).
Then, a virtual onsite with 5 rounds:
- 1 behavioral round
- 3 technical rounds
Technical rounds:
- Generative AI
- Multimodal AI
- Software System Design
- LeetCode problem
Questions
What is KV cache?
How does it help in LLM inference?
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Interview Statistics
The following metrics were computed from 12 interview experiences for the Apple Machine Learning Engineer role in Cupertino, California.
Success Rate
25%
Pass Rate
Apple's interview process for their Machine Learning Engineer roles in Cupertino, California is very selective, failing most engineers who go through it.
Experience Rating
Positive50%
Neutral50%
Negative0%
Candidates reported having very good feelings for Apple's Machine Learning Engineer interview process in Cupertino, California.
Apple Work Experiences
5.0
General Apple review
Machine Learning Engineer • Current Employee
Cupertino, California, United States
August 26, 2025
Pros: - Teammates from whom you can learn
- Job stability
- Good benefits
Cons: - Low visibility across organizations.
4.0
Good, matured company.
Machine Learning Engineer • Current Employee
Cupertino, California, United States
April 14, 2025
Pros: Benefits are okay. Pay could be better.
Cons: Sometimes it feels like things are moving too slow here.
4.0
Stable company, slow advancement.
Machine Learning Engineer • Former Employee
Cupertino, California, United States
March 16, 2025
Pros: Strong talent and product ecosystem. Technical middle management. Legitimate focus on user privacy internally. Great office & environment design.
Cons: Depending on the team, there may be middling product vision and infra. Promotions and pay come slowly. You need to really advocate for yourself, else no one will. Teams often work on secretive & siloed projects; communication can feel tough. Upper management makes the company feel very corporate and boomer.
- 5.0General Apple reviewMachine Learning Engineer • Current EmployeeCupertino, California, United StatesAugust 26, 2025Pros: - Teammates from whom you can learn - Job stability - Good benefitsCons: - Low visibility across organizations.
- 4.0Good, matured company.Machine Learning Engineer • Current EmployeeCupertino, California, United StatesApril 14, 2025Pros: Benefits are okay. Pay could be better.Cons: Sometimes it feels like things are moving too slow here.
- 4.0Stable company, slow advancement.Machine Learning Engineer • Former EmployeeCupertino, California, United StatesMarch 16, 2025Pros: Strong talent and product ecosystem. Technical middle management. Legitimate focus on user privacy internally. Great office & environment design.Cons: Depending on the team, there may be middling product vision and infra. Promotions and pay come slowly. You need to really advocate for yourself, else no one will. Teams often work on secretive & siloed projects; communication can feel tough. Upper management makes the company feel very corporate and boomer.
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