It started with an introduction that lasted like less than a minute, and straight away the interviewer shared a link where we went to solve a Hard Problem i.e Edit Distance with little to no interaction with the interviewer. Afterwards, there was a bit of baiting around i.e tell me which Classic ML model you like and explain that model, once I explained that it would be a Decision Tree family, then they started asking what would be the "loss" function and more questions that were purely adverserial attacks which is fair in this context but after having created a sub optimal pseudo code for Edit Distance for the last 30 minutes, this was doomed to fail, at least for me.
Ml Engineer Interview Questions
2,764 ml engineer interview questions shared by candidates
What is batch optimization? What are different optimization algorithms?
there were 2 SQL problems, about 50 ML MCQ, and 2 problem-solving problems.
what models did you use
No question we have to enter.
What is batchnorm and why is it useful?
what are your machine learning skills
Talk about your previous experiences in sports analytics.
Why do you want to work here?
Object orienbted programming, Data Structures and Algorithms
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