Q. Questions based on Bias-Variance tradeoff. Q. Some discussions on D-trees and Random Forests, since it was mentioned in the CV. (Prepare all the topics well, which are in your resume)
Applied Research Interview Questions
518 applied research interview questions shared by candidates
ML round: Design a model to classify the language of reviews
Talk about a research project
Live coding, time series prediction, and general machine learning question.
1) A machine learning take home assignment . It was a prediction problem using simplest method. 2) Phone Interview with ML Scientist - Basic questions in ML 3) Onsite - 5 rounds of interview Every round focuses on Behavioural questions. Amazon breathes these principals. 1) Presentation - about a project you recently worked on (be prepared to get grilled) 2) Algo and DS - Not what you typically expect. It was more of a design problem 3) ML Application - About a Amazon product design using ML 4) ML breadth - Questions to test on your ML expertise 5) ML coding - Focus is more on functional programming and less on ML.
Interview 1 Coding Question ( Medium based on LeetCode ): • It was based on https://leetcode.com/problems/number-of-islands/. It has a minor alteration which was to return the area of the smallest island. Basically, recursively iterate over the array, keep track of smallest visited island. Interview 2 Coding Question ( Medium based on LeetCode ): • This was https://leetcode.com/problems/permutations/ the question.
scheduling problems just like leetcode, some ML, behaviorials.
(1) Talk about your research. (2) A design question on labeling the multiple products from pictures taken by the phone. (3) Coding: Range sum query 2d - immutable
some basics in machine learning
Many objected-oriented design programming problems. Every round has two coding problems. The content ranges from complex trie structure design with specific functions, weighted graph problems, etc, and some machine learning-related problems. Better know some state-of-the-art techniques.
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