Viridien Machine Learning Engineer Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 8 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Viridien.
Viridien
Machine Learning Engineer
Entry Average Negative experience No offer 1 round
Interview process
Recruiter call
Interview formats
Other
I applied without a referral and got an email from HR to set up a phone screening. They didn't mention the platform, so I figured they'd call the number I gave them. They NEVER CALLED and NEVER REPLIED TO MY EMAILS later. And after about a month, they sent the rejection email. This was the most insulting interview I had (or never had).
Confirmed questions0 questions
No confirmed questions were included in this interview report.
Viridien
Machine Learning Engineer
Mid Average Negative experience No offer 4 rounds
Interview process
Recruiter call Technical screen Take home Onsite
Interview formats
Behavioral Technical Coding
I had an HR screen first. Then I had an interview with the manager, which was pretty basic, just high school math. After that, there was a take-home test where I had to do object detection using deep learning. Finally, there was a second round with 5 interviewers covering coding and technical stuff.
Confirmed questions1 question
- What would be the output if we flip an image of a cat that was used to train a network with only that single image?
Viridien
Machine Learning Engineer Intern
Intern Difficult Positive experience Accept offer 5 rounds
Interview process
Recruiter call Take home Presentation Technical screen Technical screen
Interview formats
Behavioral Technical Coding Presentation
Started with a call about why I'd fit the role. Then got a take-home ML challenge where I had to build a model from given data. After that, I had a technical interview where I presented a project and answered ML/project questions. This was followed by a stressful 45-minute live coding session with three programming problems and some follow-up questions. The interviewers were nice though and tried to ease the pressure. Overall, it was a good experience, and the whole thing took about two months.
Confirmed questions4 questions
- Could you explain the concept of bias variance decomposition?
- What distinguishes deep learning from machine learning?
- Could you sort a list in-place?
Viridien Machine Learning Engineer Interview Questions
Quoted word for word from Viridien interview reports.
“What is the reason for selecting a kernel size of 3 in convolution?”
Read reports →“What would be the output if we flip an image of a cat that was used to train a network with only that single image?”
Read reports →“What distinguishes deep learning from machine learning?”
Read reports →“How would you calculate the sum of an attribute for nodes in 2D space within a distance R?”
Read reports →“Could you sort a list in-place?”
Read report →“What are the methods for identifying and addressing overfitting and underfitting?”
Read report →“Could you explain the concept of bias variance decomposition?”
Read report →“Could you explain what ResNet is?”
Read report →“Can you explain how to prevent overfitting?”
Read report →Formats, difficulty and experience
Across all 8 Viridien interview reports.