
Imubit Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 13 interview experiences · FREE TO READ
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6 roles · 13 reportsCandidate interview experiences
First-hand accounts from people who interviewed at Imubit.
Deep Learning Engineer
First we had a zoom meeting where they asked about my experience, past projects, and some general ML concepts. Then, I had a take-home assignment that involved coding and questions related to deep learning, which wasn't too difficult.
- Could you describe the projects you've worked on at your company or during your thesis?
- Describe your experience
- Tell me about your past projects
Backend Developer
This was like the first meeting before the actual interviews. It was pretty basic, not really technical. They gave an overview of the company and asked me about my past projects. Then, there was a live coding part. The problem wasn't super hard, like one of those common interview questions. My algorithm didn't pass the tests right away, but it eventually worked fine. The next day, I got a rejection saying I didn't answer all the questions, but there were only two questions asked. I don't really get this kind of interview where they don't give any feedback during the process and then just say everything was bad at the end.
- Some common algorithm problems were given as a live coding exercise.
- Questions about general experience and tech stack were asked.
Deep Learning Researcher
It was a long process. Started with an intro call, then a 4-hour online homework assignment. After that, there were two more technical interviews. Unfortunately, I didn't pass the homework, though I'm not sure why since my results were good. The interviewer wasn't very friendly and seemed to just want me to finish explaining the homework right away. They didn't provide any feedback even after I asked, which felt disrespectful, especially after spending 4 hours on the assignment. Overall, I don't really recommend this process.
- Regarding the deep learning homework, it involved image classification. The training set was presented with concatenated images sharing a single label. The task was to devise a method for separating these labels so the model could learn effectively.
Deep Learning Research Engineer
It started with a home assignment on deep learning, involving the classification of partially labeled data. Then, there was a code test in Python. After that, I had an interview with the CEO, and following that, an HR interview.
- Can you introduce yourself and discuss your past projects?
Imubit Interview Questions
Quoted word for word from Imubit interview reports.
“How does reactor temperature affect product yields?”
Read reports →“What's your method for finding the best number of clusters when using the K-means algorithm?”
Read reports →“Were there theoretical questions about neural networks?”
Read reports →“Explain some general Machine Learning concepts”
Read reports →“Could you create a digital content piece and a press release?”
Read report →“Can you describe your theoretical knowledge in deep learning?”
Read report →“Were you asked to do programming exercises in Python that weren't related to actual data science, possibly because the company's work is more engineering-focused than science-focused?”
Read report →“Can you introduce yourself and discuss your past projects?”
Read report →“Describe your experience”
Read report →Formats, difficulty and experience
Across all 13 Imubit interview reports.