Coding - Recursion and Array Manipulation Technical - BERT, Deep Learning Fundamentals and NLP research
Machine Learning Engineer Intern Interview Questions
8,203 machine learning engineer intern 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
What's the most challenging project and how did you break through it?
find continuous subarray of ints that sum to a key
Basic Machine learning stuff - Building automation pipeline, Feature engineering, AWS knowledge and python coding
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.
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