Coding questions were medium leetcode questions and can be done with some prep. system design and ml system wasn't too hard. I couldn't do senior level on ml system design. it's more complicated than educative examples.
Junior Machine Learning Engineer Interview Questions
8,203 junior machine learning engineer interview questions shared by candidates
What is my background in ml, how do I finetune and evaluate a model. What is my most familiar model?
Behavioral questions to see how you’ll handle workload
How can we evaluate our ML model?
reverse a linked list in C
Could you talk about your current projects or current publications in detail?
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.
In Neural network, if one node is deleted, explain what should other nodes be connected and why
Leetcode Hard problem for rectangles
how to solve communication problems
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