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IBM Research Interview Questions, Process, and Tips

Updated 2 Dec 2024

21 IBM Research Interview Experiences

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Software Engineer Interview Questions

user image Anonymous

posted on 14 Jan 2015

4 Interview Rounds

Interview Questions

Interview Preparation Tips

Round: Resume shortlisting
Experience: I had sent my resume to the hiring group. Selection was through telephonic interviews. I was interviewed by three different research groups.

Round: Interview
Experience: Almost by default they ask about your previous projects/internships if they are relevant to the group. Ofher questions depend on the group you are interviewed by and your own profile. In my case it was machine learning, text mining etc. I was told about the research problem they were dealing with then and asked for comments/suggestions/inputs and a discussion followed,
Tips: Good to have sound knowledge of your domain (analytical and application skills arevery much required).

Skill Tips: ""Good CGPA(>9)is necessary and a recommendation from the professor is also a good add on.""
Skills: Domain work in Internship
College Name: IIT Madras

IBM Research Interview FAQs

How many rounds are there in IBM Research interview?
IBM Research interview process usually has 1-2 rounds. The most common rounds in the IBM Research interview process are Technical, Resume Shortlist and Coding Test.
What are the top questions asked in IBM Research interview?

Some of the top questions asked at the IBM Research interview -

  1. if the fan is an entity, what are the attributes to ...read more
  2. What are the different types of algorithms used for classificatio...read more
  3. How to check if the tree is balanc...read more

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Interview Process at IBM Research

based on 4 interviews in last 1 year

Interview experience

4.3
  
Good

People are getting interviews through

based on 14 IBM Research interviews
Campus Placement
Job Portal
Company Website
Recruitment Consultant
43%
21%
7%
7%
22% candidates got the interview through other sources.
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?
High Confidence means the data is based on a large number of responses received from the candidates.

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