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Nomura Research Institute Machine Learning Engineer Interview Questions
& Process

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

Based on 5 interview experiences · FREE TO READ

3 Rounds average
Average Typical difficulty
40% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Nomura Research Institute.

Showing 3 of 5
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Nomura Research Institute

Machine Learning Engineer

Engineering · more than a year ago

Entry Average Positive experience No offer 2 rounds
Interview process
Technical screen
Interview formats
Technical

The interview process involved two online tests. Both tests consisted of multiple-choice questions. The first test covered more general topics and was easier. The second test was more specialized, focusing on the specifics of the applied role. Many of the questions asked were available online.

Confirmed questions1 question
  • Could you describe a machine learning algorithm related question?
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Nomura Research Institute

Machine Learning Engineer

Engineering

Mid Average Positive experience No offer 6 rounds
Interview process
Take home Technical screen Recruiter call Onsite Presentation Offer
Interview formats
Technical Coding Presentation Behavioral

The interview process started with an aptitude test that covered numerical reasoning and logic. Then there was an MLE test with a study case and multiple-choice questions. This was followed by a user interview with the Lead. Next, I had to work on a study case involving an E2E ML Pipeline, and I was asked questions about NLP and Computer Vision. Finally, I had to explain my last project, and there was another user interview with the CTO before an offer was extended.

Confirmed questions4 questions
  • Could you describe an end-to-end ML pipeline for a given study case?
  • Questions related to Natural Language Processing (NLP).
  • Questions related to Computer Vision.
Nomura Research Institute logo
Nomura Research Institute

Machine Learning Engineer

Engineering

Entry Difficult Neutral experience No offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Technical Coding

For a MLE role, the interview usually checks your problem-solving skills, analytical thinking, how well you communicate, if you get client needs, and if you've used tools like Python, Tensorflow, LLM, RAG, etc.

Confirmed questions1 question
  • Have you worked with LLMs before?

Nomura Research Institute Machine Learning Engineer Interview Questions

Quoted word for word from Nomura Research Institute interview reports.

Could you describe a machine learning algorithm related question?

Read reports

Could you describe an end-to-end ML pipeline for a given study case?

Read reports

Formats, difficulty and experience

Across all 5 Nomura Research Institute interview reports.

Interview formats

Technical 50%
Coding 20%
Behavioral 20%
Presentation 10%

Interview difficulty

Easy 0%
Average 80%
Difficult 20%

Candidate experience

Neutral 60%
Positive 40%