Taro Logo

Machine Learning PhD Interview Experience - San Francisco, California

February 1, 2018
Neutral ExperienceNo Offer

Process

5 minutes of self-introduction and asked about finding duplicate files.

Asked how to resolve the conflict problem without looking at the content of files.

Described how MD5 works.

Worked it out with 2 hints but was told not moving forward to the next round.

Questions

Given a root directory, return all file paths grouped by duplicate files.

Was this helpful?

Interview Statistics

The following metrics were computed from 1 interview experience for the Dropbox Machine Learning PhD role in San Francisco, California.

Success Rate

0%
Pass Rate

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

Experience Rating

Positive0%
Neutral100%
Negative0%

Candidates reported having mixed feelings for Dropbox's Machine Learning PhD interview process in San Francisco, California.

Dropbox Work Experiences