Where can I find Graymatics interview experiences by job title?

Software Engineer (4) ; AI Engineer (3) ; Internship (3) ; Product Manager (3) ; Software Engineer Intern (3) ; Audio Engineer (2)

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Graymatics

Graymatics interview questions

Updated Jun 18, 2024

based on 9 ratings

Difficulty

Average

Experience

Very positive

How others got an interview

33%
Campus recruiting
Campus recruiting
33%
Applied online
Applied online
17%
Other
Other
17%
Recruitment agency
Recruitment agency

Interview search

9 interviews

Web Developer Intern Interview

Jun 18, 2024

Anonymous interview candidate

No offer

Neutral experience

Easy interview

Application

I applied through other source. I interviewed at Graymatics (Singapore) in May 2024

Interview

The interview was focused on HTML, CSS, and basic JavaScript fundamentals. It also included a simple Python sorting question. While the interview was easy overall, I faced some challenges understanding the interviewer's Indian accent.

Interview questions [1]

Question 1

What is a tag in HTML? Can you give some examples of common HTML tags? How can you target specific elements with CSS? What does a comma (,) do when separating selectors in CSS? What is the Document Object Model (DOM)? How can you access and manipulate elements within the DOM using JavaScript?

Answer question

Machine Learning Intern Interview

Dec 15, 2023

Anonymous interview candidate

No offer

Neutral experience

Average interview

Application

I interviewed at Graymatics (Santiago)

Interview

Just a common interview for the position, usual questions of weaknesses and strengths, previous experience, why should they hire me. They asked me for a difficult situation and how did I manage it.

Interview questions [1]

Question 1

Q: What is your previous experience using machine learning?

Answer question

AI Algorithm Engineer Interview

Jun 19, 2023

Anonymous employee

Accepted offer

Positive experience

Average interview

Application

I applied online. The process took 2 weeks. I interviewed at Graymatics (Bengaluru) in Jan 2022

Interview

Technical problem statement needs to be solved followed by the 1 technical round which last for 30-40 mins. The interviewer will ask fundamental questions about Deep Learning and a little bit of discussion about the project

Interview questions [1]

Question 1

1. What is Batch Normalization and how does it help to reduce overfitting?

Answer question

Viewing 1 - 5 of 9 Interviews

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