Machine Learning Intern Interview Experience - Milpitas, California
August 21, 2025
Positive ExperienceGot Offer
Process
2 rounds both focusing on ML questions, mostly focused on resume. The second round was with hiring manager and also included a LeetCode question which at a medium level. The ML questions were focused on GANs, learning rate schedulers etc.
Questions
Image alignment and how to tackle it
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Interview Statistics
The following metrics were computed from 1 interview experience for the KLA Machine Learning Intern role in Milpitas, California.
Success Rate
100%
Pass Rate
KLA's interview process for their Machine Learning Intern roles in Milpitas, California is incredibly easy as the vast majority of engineers get an offer after going through it.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for KLA's Machine Learning Intern interview process in Milpitas, California.
KLA Work Experiences
5.0
Review
Artifical Intelligence Engineer • Current Employee
Milpitas, California
March 30, 2025
Pros: Cube space that offers perfect balance between collaboration and quiet
Cons: I can't think of anything.
1.0
Worst than ever
Software Engineer • Former Employee
Milpitas, California
January 23, 2026
Pros: Do not suggest it here.
Cons: There is a lot of travel and poor payment.
2.0
It's OK
Algorithm Engineer • Current Employee
Milpitas, California
November 12, 2024
Pros: Interesting technical problems
Good opportunities to learn new skills
Tangible impact on product / results
Cons: Limited options for professional development
Cutthroat environment for receiving credit for work done.
Pay raises don't match or exceed cost of living adjustment
Extremely limited inter-department collaboration. Very silo-ed
- 5.0ReviewArtifical Intelligence Engineer • Current EmployeeMilpitas, CaliforniaMarch 30, 2025Pros: Cube space that offers perfect balance between collaboration and quietCons: I can't think of anything.
- 1.0Worst than everSoftware Engineer • Former EmployeeMilpitas, CaliforniaJanuary 23, 2026Pros: Do not suggest it here.Cons: There is a lot of travel and poor payment.
- 2.0It's OKAlgorithm Engineer • Current EmployeeMilpitas, CaliforniaNovember 12, 2024Pros: Interesting technical problems Good opportunities to learn new skills Tangible impact on product / resultsCons: Limited options for professional development Cutthroat environment for receiving credit for work done. Pay raises don't match or exceed cost of living adjustment Extremely limited inter-department collaboration. Very silo-ed
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