First round was a business case in their real work scenario, supposed to have a good framwork to work on this type of case study. Second round was about general tools concepts on my resume. The interviewers were really nice, but they didn't seem to test out best of my knowledge?
To describe my current project in simple terms.
What is the closed-form solution of linear regression, when is it better to use gradient descent? Time complexity of matrix inversion?
DSA: Q. Count of inversion pairs Q. Something related to topological ordering ML: Q. Unsupervised learning Q. Metrics and their use cases Q. Boosting algorithms and their mathematics Q. Case study Q. Transformers Q. Computer vision architectures
How do you bring up different opinions to co-workers or upper levels?
Talks about behavioral questions. Should know all of the leadership principles.
Could you tell me about what projects/research you have worked on during PhD?
Round 1: two leet code style med level questions
What is a depth-wise separable convolution?
What is the next step after prepare the dataset?
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