Online assessment with three sections.
The first part is multi-choice questions, asking for basic machine learning knowledge. Questions are like AWS certification questions.
The second part is coding questions, asking for implementing ML algorithms such as KNN and K-means. They have built-in functions for you; you need to follow their structure.
The final part is a LeetCode question.
Overall, it was not a good experience. The algorithm part took a long time to figure out. It was a short period but a lot of questions.
One of the ML questions is to give you a confusion matrix, and you need to calculate recall and precision.
The following metrics were computed from 1 interview experience for the Pinterest Machine Learning Engineer Intern role in Toronto, Ontario.
Pinterest's interview process for their Machine Learning Engineer Intern roles in Toronto, Ontario is extremely selective, failing the vast majority of engineers.
Candidates reported having very negative feelings for Pinterest's Machine Learning Engineer Intern interview process in Toronto, Ontario.