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Machine Learning Engineer Interview Experience - San Francisco, California

December 1, 2020
Negative ExperienceNo Offer

Process

I applied to the San Francisco office. The process started with a screening phone call with a recruiter, then a take-home ML exercise which you have to return within 2 weeks, and finally a technical interview which has theory questions as well as some coding.

What sucks is that what you hear about the company’s hiring process is true. Those people really ghost you after they interview you. Unless you reach out to them multiple times, they wouldn’t get back to you.

It sucks for a company that has a good reputation to be too lazy and careless to send a simple offer/rejection message after you spend days preparing for their interview.

Questions

For the take-home exercise, they send you a problem where you have to build a model to solve it.

For the interview, they ask you specific deep learning questions, as well as about plotting and analyzing probability distributions.

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Interview Statistics

The following metrics were computed from 7 interview experiences for the Scale AI Machine Learning Engineer role in San Francisco, California.

Success Rate

14%
Pass Rate

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

Experience Rating

Positive43%
Neutral14%
Negative43%

Candidates reported having mixed feelings for Scale AI's Machine Learning Engineer interview process in San Francisco, California.

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