Process
The process started with an initial phone screen with theoretical questions related to both image processing and machine learning, then the second round was a technical presentation followed by five one on one interviews.
During the technical presentation they will ask probing questions about the topic you presented on. The one on one interviews are a mix of theoretical and coding questions from engineering managers.
Questions
Describe bootstrapping and bagging, what are they used for? Describe SVM, kernelized methods, supervised vs unsupervised ML, L1 loss vs L2 loss, etc.
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Interview Statistics
The following metrics were computed from 14 interview experiences for the KLA Algorithm Engineer role in United States.
Success Rate
KLA's interview process for their Algorithm Engineer roles in the United States is very selective, failing most engineers who go through it.
Experience Rating
Candidates reported having very good feelings for KLA's Algorithm Engineer interview process in United States.
KLA Work Experiences
- 2.0Lowest pay for highest performerAlgorithm Engineer • Current EmployeeMilpitas, CaliforniaJuly 12, 2010Pros: - relatively stable - good training programCons: - Politics in middle management - Below market compensation. Mine is 15~20% below market, which is an extreme case, since I joined as NCG right before the salary freeze. But note that I got highest performance rating in ALL focal reviews so far.
- 3.0So so companyAlgorithm Engineer • Current EmployeeMilpitas, CaliforniaJanuary 25, 2024Pros: A company that has learning opportunities.Cons: We need to improve work-life balance and diversity.
- 5.0SatisfiedAlgorithm Engineer • Current EmployeeMilpitas, CaliforniaApril 26, 2018Pros: Good work environment. Great work-life balance. Cool work without the hype.Cons: It is a somewhat old-school semi-conductor industry company. It is not the flashy, vibrant, change-the-world environment.
