KLA logo

KLA Research Scientist Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 20 interview experiences · FREE TO READ

3 Rounds average
Average Typical difficulty
52.6% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at KLA.

Showing 3 of 20
KLA logo
KLA

Research Scientist Intern

Research · half a year ago

Intern Average Positive experience No offer 1 round
Interview process
Recruiter call Technical screen Onsite
Interview formats
Technical Behavioral

I had an online interview with the hiring manager, which was primarily technical. We mostly discussed my PhD research and previous work. The manager was very engaged and polite, effectively guiding my responses and encouraging deeper thought. He asked two prepared questions, but many of the questions were follow-ups based on my research and my answers during the interview.

Confirmed questions2 questions
  • How would you tackle a problem where you have noisy measurements of y derived from a physics-based model y = f(x), and the goal is to find the underlying x values or labels?
  • What are the reasons for the widespread use of mean squared error compared to absolute error or errors with higher powers?
KLA logo
KLA

Research Scientist

Research

Mid Average Negative experience No offer 1 round
Interview process
Recruiter call Technical screen
Interview formats
Behavioral Technical

The interview process was surprising and unpleasant. I was expecting a technical interview with some HR questions. I joined a Zoom call with two employees, a team lead and their superior. At the start, they told me the first 30 minutes were for me to talk about myself. I started talking about my background and PhD research. After 10 minutes, I asked if they had questions, but they just repeated that the time was for me. After another 10 minutes of me talking about my research and skills, I asked again if they had questions. They repeated again that this time was for me. After about 27 minutes of me talking with no questions from them, they stopped me and asked 'Is there a difference between science and engineering?' I answered, and they ended the interview, saying I'd hear back in two weeks. I never heard back, and about two months later, the candidate portal showed I was rejected. It was a terrible experience. If I had known they wanted me to talk for 30 minutes straight, I would've prepared slides.

Confirmed questions2 questions
  • For the next 30 minutes, please tell us anything you believe we should know about you as a candidate for this job.
  • What is the difference between science and engineering?
KLA logo
KLA

Research Scientist

Research

Entry Average Negative experience No offer 2 rounds
Interview process
Recruiter call Presentation Technical screen Onsite
Interview formats
Presentation Technical Behavioral

The process started with a Skype interview where I had to give a presentation about my projects and background. Then, I had an in-person interview at their Milpitas, CA location. This included a 30-45 minute presentation on my PhD research, followed by five one-on-one interviews that were each about an hour long. Overall, the experience was pretty bad. The research presentation part was okay, despite some initial technical issues. But the one-on-one interviews felt like a total waste of time, and I left not knowing if I'd even fit in there. It also seemed like they wouldn't really know if I was a good fit either. One interviewer just talked randomly about projects and teams. Some interviewers acted like it was a quiz, asking mostly yes/no questions about my skills and background, and didn't let it be a discussion. One person had decent technical questions, but we ran out of time before we could really discuss them. The last interviewer seemed really tired and uninterested. To top it off, they didn't pay me back for my taxi costs, even though they said they would send a check. It's only $30, but it's the principle.

Confirmed questions1 question
  • Can you explain what you understand about unconstrained optimization?

KLA Research Scientist Interview Questions

Quoted word for word from KLA interview reports.

What are the reasons for the widespread use of mean squared error compared to absolute error or errors with higher powers?

Read reports

What are the primary aberrations found in optical systems, and what methods can be used to reduce them?

Read reports

Could you name an image quality metric and describe how it relates to characterizing an optical system?

Read report

How would you tackle a problem where you have noisy measurements of y derived from a physics-based model y = f(x), and the goal is to find the underlying x values or labels?

Read report

Can you discuss different deep learning model architectures?

Read report

Formats, difficulty and experience

Across all 20 KLA interview reports.

Interview formats

Technical 40%
Behavioral 38%
Presentation 16%
Coding 4%
System Design 2%

Interview difficulty

Easy 5%
Average 75%
Difficult 20%

Candidate experience

Positive 52.6%
Negative 31.6%
Neutral 15.8%