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Full Stack Developer (2) ; Software Developer (2)

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Dimensionless Technologies

Dimensionless Technologies interview questions

Updated 2 Mar 2024

based on 3 ratings

Difficulty

Average

Experience

Mostly positive

How others got an interview

67%
Applied online
Applied online
33%
Campus recruiting
Campus recruiting

Interview search

3 interviews

NLP Intern Interview

2 Mar 2024

Anonymous employee

Accepted offer

Positive experience

Average interview

Application

I applied through university. I interviewed at Dimensionless Technologies (Navi Mumbai) in Aug 2022

Interview

The Process was quick and efficient. To the point. I was asked questions regarding the tasks given to me prior to being shortlisted for an interview, mainly pertaining to NLU, NLG and BERT.

Interview questions [1]

Question 1

What is NLU and NLG

1 Answer

NLP Interview

29 Jun 2022

Anonymous interview candidate

Declined offer

Negative experience

Difficult interview

Application

I applied online. I interviewed at Dimensionless Technologies

Interview

Very poor interview process, keep delaying the interview and take too long to reach back after conducting the interview, keep interviewee hanging with no response for so many days. Founder has unrealistic expectations from interns

Interview questions [1]

Question 1

Questions on cutting edge NLP techniques, Deep learning and ML algorithms like Random forest

Answer question

Computer Vision Intern Interview

9 Feb 2022

Anonymous employee

Accepted offer

Positive experience

Average interview

Application

I applied online. I interviewed at Dimensionless Technologies in Jan 2021

Interview

There were three rounds one with HR, the other one with the co-founder of the company, and then with the technical team. HR, Cofounder and Technical team were very helpful.

Interview questions [1]

Question 1

Cofounder questions: Q1: Explain Random forest? Q2: Explain decision tree? Q3: How random forest helps in getting low variance? Q4: Explain RCNN? Technical Team Questions: Q1: Explain Activation functions? Q2: Random forest hyperparameters? Q3: ResNet50 Architecture? Q4: Batch Normalization Q5: Explain SIFT? Q6: What is Histogram Equalization? Q7: what is CLAHE?

Answer question

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Dimensionless Technologies interviews FAQs

Interviews Dimensionless Technologies interviews

Dimensionless Technologies

Dimensionless Technologies interview questions

Average

Mostly positive

How others got an interview

Interview search

NLP Intern Interview

NLP Interview

Computer Vision Intern Interview

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Dimensionless Technologies interviews FAQs

Followed companies

Job searches

NLP Intern Interview

NLP Interview

Computer Vision Intern Interview

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