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Applied machine learning scientist Interview Questions

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Applied Machine Learning Scientist interview questions shared by candidates

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

Amazon

Behavioral question: do you have any experience of over-delivering the job?

1 Answers

As an Amazon employee who interviewed and hired a lot of people here, I've created a guide that has all the questions and winning answers from an Amazonian recruiter perspective. Please check it out at interviewjoy.com/services/interview-process-details/amazon-senior-manager-interview-questions/ Less

Amazon

How to find minimum value in an array

1 Answers

Binary search algorithm. You can use any programming language

Qualcomm

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

1 Answers

x log(x) - x

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

PicnicHealth

Enhance battleship. A semi-complete project is given and you must complete it. You should be familiar with Javascript and popular frameworks. Also, there is some (minor) SQL.

1 Answers

Matched existing style. Consider carefully where models should be extended vs new ones added. How does the information flow through the models? What minimizes complexity in logic / centralizes it to ensure encapsulation? 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

Xero

Coding challenge and behavioral questions

Teladoc Health

Explain one of your MLOps projects. How have you improved the performance.

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