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Machine Learning Engineer Interview Experience - Washington, District of Columbia

October 1, 2021
Neutral ExperienceNo Offer

Process

A recruiter reaches out to you via email saying they are interested and gives you a deep learning project. The goal of the project was to detect the orientation of stars in images. So say you take an image with your phone of the night sky. Connect 5 random stars to make a giant star. Now the next task is to calculate the orientation of the star. You had to complete this within two weeks. There were two options: one was a computer vision project and the other was an NLP project. Both came with their own datasets and skeleton of the project. PyTorch and Python should be fully understood.

Questions

Complete assignment within 14 days, or you can ask for more time.

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Interview Statistics

The following metrics were computed from 1 interview experience for the Scale AI Machine Learning Engineer role in Washington, District of Columbia.

Success Rate

0%
Pass Rate

Scale AI's interview process for their Machine Learning Engineer roles in Washington, District of Columbia is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive0%
Neutral100%
Negative0%

Candidates reported having mixed feelings for Scale AI's Machine Learning Engineer interview process in Washington, District of Columbia.

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