Applied Scientist Interview Questions

1,159 applied scientist interview questions shared by candidates

Major questions were related to my project which was computer vision/DL based. 1. What are the difficulties I faced in my project and how I counteracted it? 2. Explain U-Net and what novel thing it offers? 3. Explain regularization and it's different types? 4. How KL divergence loss is different from cross entropy loss?
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Applied Scientist

Interviewed at Amazon

3.5
Jan 20, 2022

Major questions were related to my project which was computer vision/DL based. 1. What are the difficulties I faced in my project and how I counteracted it? 2. Explain U-Net and what novel thing it offers? 3. Explain regularization and it's different types? 4. How KL divergence loss is different from cross entropy loss?

They asked a lot of behavioral questions. Regarding the technical questions, they asked computer vision (6 DoF pose estimation methods, YOLO, image segmentation), statistics (covariance, p-value, distributions), classic machine learning algorithms (SVM, clustering, linear regression), deep learning, regularization methods. The coding question a typical leetcode question (easy level).
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Applied Scientist

Interviewed at Amazon

3.5
Mar 5, 2022

They asked a lot of behavioral questions. Regarding the technical questions, they asked computer vision (6 DoF pose estimation methods, YOLO, image segmentation), statistics (covariance, p-value, distributions), classic machine learning algorithms (SVM, clustering, linear regression), deep learning, regularization methods. The coding question a typical leetcode question (easy level).

The first interviewer spend maximum time on random forest algorithm and went into great detail. from bagging and boosting to gradient boosting techniques. He also spent quite some time with multiple linear regression problems. In the end there was one algorithm question. The second interviewer asked about classification for imbalanced data sets and response rate of models. In the end there were few SQL questions. Both interviewers were super helpful and walked through their questions. From my experience i think they really want the candidate to succeed.
avatar

Applied Scientist

Interviewed at Amazon

3.5
Mar 12, 2019

The first interviewer spend maximum time on random forest algorithm and went into great detail. from bagging and boosting to gradient boosting techniques. He also spent quite some time with multiple linear regression problems. In the end there was one algorithm question. The second interviewer asked about classification for imbalanced data sets and response rate of models. In the end there were few SQL questions. Both interviewers were super helpful and walked through their questions. From my experience i think they really want the candidate to succeed.

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