Can you tell us about one of your projects?
Machine Learning Engineer Interview Questions
6,173 machine learning engineer interview questions shared by candidates
what's BERT model and why is it good
I was asked how I would approach a specific problem and then they asked a few things about my design choices and why did I think it that way.
One question they asked me was the difference between underfitting and overfitting in deep learning.
projects and working experience on my resume
What is precision and recall
Basic Machine learning stuff - Building automation pipeline, Feature engineering, AWS knowledge and python coding
Work through the resume and dive very deep into the skills listed in the resume. Question for the project and the position. A question about a specific question about one challenge in their current pipeline, how to tackle them
The HR call was very short and I did not get asked behavioural questions. The HRs are very nice and reply to emails very quickly. Then the technical interviews. It seems that they have a pool of questions that are shared with all engineers. So the first interviewer asked me backend questions even though I applied for MLE. The interviewer was nice about it when I told them that I have not learned certain topics in school. I was asked about the Machine Learning projects on my resume. They wanted to see how well you know the specific concepts and ML algorithms you used in these projects. For the coding challenge, I got a pretty easy question in the first round, about designing a cache. The question asked in the second round was quite difficult and required dynamic programming. Also, even though the interview started in Mandarin, the interviewer switched to English when I told them that I did not know technical terms in Chinese. We had no problem in terms of communication.
Technical interview asked about performing matrix multiplication in an efficient manner and a couple of questions regarding machine learning
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