Applied Scientist Interview Questions

1,174 applied scientist interview questions shared by candidates

1st onsite interview: Technical/Research questions included: YOLO and its derivatives, SVMs and kernels, Metric learning, Segmentation (semantic vs instance), non-dl image matching (i.e SIFT features), clustering methods, supervised vs non-supervised learning etc.
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Applied Scientist

Interviewed at Amazon

3.5
Mar 27, 2020

1st onsite interview: Technical/Research questions included: YOLO and its derivatives, SVMs and kernels, Metric learning, Segmentation (semantic vs instance), non-dl image matching (i.e SIFT features), clustering methods, supervised vs non-supervised learning etc.

4th onsite interview: Technical question How would you improve amazon's core services using computer vision techniques. The question actually overlapped with the discussion with the 2nd interviewer, so I had to come up with a different novel idea. Coding question For a list of rectangles/subarrays find the average of each one on a 2D Matrix
avatar

Applied Scientist

Interviewed at Amazon

3.5
Mar 27, 2020

4th onsite interview: Technical question How would you improve amazon's core services using computer vision techniques. The question actually overlapped with the discussion with the 2nd interviewer, so I had to come up with a different novel idea. Coding question For a list of rectangles/subarrays find the average of each one on a 2D Matrix

Since I signed an NDA, I am not able to give much details here. But in general, besides cultural-fit questions based on Amazon's leadership principles, I was asked three types of technical questions - a general workflow optimization problem, a specific problem faced by a researcher at Amazon, and technical questions on my research. For broad problem statements, it helps to start by listing out the possible directions the problem could go and interactively narrow down the requirements into a specific area of interest.
avatar

Applied Scientist

Interviewed at Amazon

3.5
Jun 9, 2017

Since I signed an NDA, I am not able to give much details here. But in general, besides cultural-fit questions based on Amazon's leadership principles, I was asked three types of technical questions - a general workflow optimization problem, a specific problem faced by a researcher at Amazon, and technical questions on my research. For broad problem statements, it helps to start by listing out the possible directions the problem could go and interactively narrow down the requirements into a specific area of interest.

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