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.
Applied Scientist Interview Questions
1,159 applied scientist interview questions shared by candidates
What is the reason customer shop in this store?
What ML algorithms do you know? Follow up questions asked me to describe some of the algorithms I had listed, then went into details (what is the loss function, why is LSTM better than RNN) Coding Questions: Similar to easy/medium LeetCode questions.
A lot of basically machine learning questions based on my resume.
Some basic machine learning questions, a coding interview and a couple behavioural questions.
Cannot remember all the details but most of them are basic maching learning questions
- Tell me what has been your greatest scientific contribution - Describe to me Dijkstra's algorithm - Formulate mathematically a problem where you have to schedule X tracks to deliver Y packets to Z cities under A, B, C constraints
Create permutations of a string
In the 1st round I was given a standard stack based question. The question was to find the next rgeatest element in an array along with one other question. In the 2nd round, I was asked about random forest classifiers and RNNs.
Describe a time when you face a difficult situation.
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