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Senior Computer Engineer Interview Questions

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90 senior computer engineer interview questions shared by candidates

I was asked technical questions about subjects that were not on my resume and I had no experience with. There were questions about EJB3, which I had to answer I had never used. The hiring manager told me I was marked down for those type of answers.
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Senior Computer Engineer

Interviewed at Federal Reserve Bank of Dallas

3.8★
Mar 13, 2014

I was asked technical questions about subjects that were not on my resume and I had no experience with. There were questions about EJB3, which I had to answer I had never used. The hiring manager told me I was marked down for those type of answers.

- Write a function to produce the convolution of an image with a filter - Write a function that fills a buffer with a rolling set of image object segmentation results - From a set of loss functions like L2 loss or hinge loss, explain which ones are rotationally invariant, sensitive to rescalings of the input features, and which are convex. - Given a set of standard random forest trees and a set of gradient boosted trees, explain how the model's predictions would change if you remove the first tree, the last tree, or make other changes after training. - Talk about a system design you've worked on where a web service provides computer vision computations on input images. How did you test it? How did you deploy it? - Given a pandas DataFrame with some numeric columns, how to produce counts of data for different category IDs, including with or without extra processing to remove noisy, missing, or outlier data points.
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Senior Computer Vision Engineer

Interviewed at NETGEAR

2.8★
May 5, 2018

- Write a function to produce the convolution of an image with a filter - Write a function that fills a buffer with a rolling set of image object segmentation results - From a set of loss functions like L2 loss or hinge loss, explain which ones are rotationally invariant, sensitive to rescalings of the input features, and which are convex. - Given a set of standard random forest trees and a set of gradient boosted trees, explain how the model's predictions would change if you remove the first tree, the last tree, or make other changes after training. - Talk about a system design you've worked on where a web service provides computer vision computations on input images. How did you test it? How did you deploy it? - Given a pandas DataFrame with some numeric columns, how to produce counts of data for different category IDs, including with or without extra processing to remove noisy, missing, or outlier data points.

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