First coding was function to produce weighted probability sampler given a list of weights, second was least common ancestor in binary tree
Applied Scientist Interview Questions
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Having a list of words and its frequency in multiple servers, can you combine these three sources in an online manner?
A system design question asking to design a dashboard to monitor machine learning models.
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
All LPs except for hire the best and frugality.
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.
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