Most of the questions were from my resume. Explain the criterion of choosing particular machine learning algorithm for the problems which I was trying to solve . Questions on deep learning algorithms and natural language processing. Questions were all about the different deep learning algorithm, like Autoencoder, seq2seq model, LSTM, CNN. The interviewer was interesting to know how I implemented the algorithms, what type of data set (numerical or text-based) data that I used, and the evaluation metric I used for my project.
Machine Learning Engineer Interview Questions
6,179 machine learning engineer interview questions shared by candidates
Could you talk about your current projects or current publications in detail?
Behavioral questions to see how you’ll handle workload
How can we evaluate our ML model?
Leetcode Hard problem for rectangles
reverse a linked list in C
Do you need any kind of sponser now or in the future
Do you know about the @ symbol in python(asking about annotation)?
Talk about my projects in detail and ask some questions based on that.
Final round: Resume deep dive, implement attention (transformer), leetcode medium.
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