(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
Applied Scientist Interview Questions
1,182 applied scientist interview questions shared by candidates
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.
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
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