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Machine Learning Interview Experience - Lake St Louis, Missouri

January 1, 2020
Positive ExperienceNo Offer

Process

The recruiter was very friendly and easy to get in touch with. I applied in December and heard back around early January.

They asked me to respond to a few behavioral questions via email:

  • How does your PhD align with the role?
  • What are three things that inspire you?

They then scheduled my technical coding interview. I didn't do well on the first coding interview, but they have a redo option, so I took that and did a bit better (still not great).

Overall, the feedback and experience were good.

Questions

Coding question: Given an array of website names (e.g., mail.yahoo.com) and page views, find the number of times each subdomain (e.g., yahoo.com, .com, mail.yahoo.com) has occurred.

Coding question: Given a list of student IDs and courses they are enrolled in, find the courses each pair of students is enrolled in.

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Interview Statistics

The following metrics were computed from 1 interview experience for the Pinterest Machine Learning role in Lake St Louis, Missouri.

Success Rate

0%
Pass Rate

Pinterest's interview process for their Machine Learning roles in Lake St Louis, Missouri is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive100%
Neutral0%
Negative0%

Candidates reported having very good feelings for Pinterest's Machine Learning interview process in Lake St Louis, Missouri.

Pinterest Work Experiences