Taro Logo

Machine Learning Engineer Interview Experience - Canada

June 1, 2022
Negative ExperienceNo Offer

Process

The process began with a phone screen, which included some ML knowledge/trivia questions, followed by a coding problem. This went well, and I advanced to the virtual onsite.

The interviewers were nice, and the overall process was well-organized. I walked out of the onsite feeling pretty good.

Following the onsite, I did not hear back regarding a decision. Whenever I emailed my recruiter, they would state that a decision had not yet been reached, even a full month after my interview.

I can understand if Pinterest did not consider me a good fit, or if they decided to freeze hiring, as many tech companies are doing currently. At the very least, I expected a decision.

I ended up accepting an offer elsewhere because I cannot afford to keep waiting. In the end, I still do not know how I performed in the interview.

Furthermore, my recruiter was incredibly unresponsive. My emails often went unanswered or were ignored for days.

Given this experience, I do not believe I will interview at Pinterest again.

Questions

ML design question involving ranking/recommendations.

Big data question about SQL.

Three coding questions:

  1. The first is a variation on binary search.
  2. The second is a graph traversal problem (think BFS).
  3. The last involved implementing matrix addition and multiplication for sparse matrices.

Was this helpful?

Interview Statistics

The following metrics were computed from 7 interview experiences for the Pinterest Machine Learning Engineer role in Canada.

Success Rate

0%
Pass Rate

Pinterest's interview process for their Machine Learning Engineer roles in Canada is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive71%
Neutral0%
Negative29%

Candidates reported having very good feelings for Pinterest's Machine Learning Engineer interview process in Canada.

Pinterest Work Experiences