Two coding tests and one behavioral question.
Applied Machine Learning Engineer Interview Questions
66 applied machine learning engineer interview questions shared by candidates
What is PCA, and what's the input?
The technical interview is about discussing the solution for the code challenge and questions related to that.
I was asked to solve a coding problem involving strings and palindromes. The interviewer mentioned that time complexity didn’t matter; the only expectation was to provide a working solution without errors, no explanation required.
What is the difference between R^2 adjusted and not adjusted?
Did you have any experience with deployment or operationalization of models? What are the things you look into before deploying the model?
Case Study for multi label classification problem
Theory questions from ML, a software engineering problem that is pretty easy and the modelling and training of the agent.
What is overfitting and underfitting? What is SimCLR and FixMatch? What are the problems with SimCLR? How do you set the threshold for linear regression? How do the kernels work in SVM? What is the derivative of the sigmoid function? How does backpropagation work? How do K-means clusters work and how do you choose the value of K?
Q: Write a function to identify Precision, Accuracy and Recall for grouped binary outputs
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