Senior machine learning scientist Interview Questions

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Senior Machine Learning Scientist interview questions shared by candidates

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Amazon
Senior Applied Machine Learning Scientist was asked...3 November 2019

1- Machine Learning concepts 2- Data Structure Case Study (Very easy) 3- Coding (Easy but they need hands-on exp) And Finally, Leadership (14 principles)

2 Answers

There is no right answer except for conceptual one. They need you to be natural and be good in what you do. I would suggest to do following: 1- Leadership 2- Coding 3- ML concepts Less

Forgot to add, my feedback was mixed saying I need more Machine Learning knowledge (which I disagree) and hands-on coding (which killed my interview)! Less

Netflix

we discussed mainly my background and some of the works I did, but she was not able to understand most of them. She was constantly interrupting me and trying to change the subject. The part that really got in her nerve was when I did not know what is 'original content". She explained that she means shows like "Orange is the new black", etc. which I do not watch. It was completely incomprehensible for her that some people may spend their time reading papers, or help their church high school kids instead watching fictional stories about women in prison.

1 Answers

If you want to pass the initial phone screen, make sure you know what is "original content" ! Less

Qualcomm

Find the primitive (and derive) of log(x)

1 Answers

x log(x) - x

Bloomberg L.P.

After you have decided which features to use, describe the process of constructing feature-vectors

1 Answers

It was almost all about tf-idf vectorizer

Qualcomm

Given a bag of n blue and m red marbles, what's the expected number of draws until you get a blue marble?

1 Answers

Useful tips: model probability of failure rather than success.

Qualcomm

Programming on whiteboard: Efficiently compute the inner product of two sparse vectors.

1 Answers

Use a hash map for the vectors and then traverse the the hashmap with the fewest number of nonzero entries whilst performing matching lookups on the other array. Less

Qualcomm

ML product architecture: How would you implement a computer vision ML product?

1 Answers

This was mostly a discussion, with the aim to see if the candidate would ask relevant questions. For instance, what do we want to predict/automate, what is a data point and how is collected/generated, etc. Less

Bloomberg L.P.

How do you implement feature selection in text classification?

1 Answers

Mutual information / chi-squared criteria

Networked Insights

One of the interviewers barely spoke English and got agitated when I pointed that I cannot understand what is he saying.

Tempus Labs

Machine learning and NLP concepts.

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