Machine Learning Intern applicants have rated the interview process at Pinterest with 3.4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 80% positive. To compare, the company-average is 49.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Intern roles take an average of 15 days to get hired, when considering 5 user submitted interviews for this role. To compare, the hiring process at Pinterest overall takes an average of 24 days.
Common stages of the interview process at Pinterest as a Machine Learning Intern according to 5 Glassdoor interviews include:
Phone interview: 29%
Skills test: 29%
One on one interview: 29%
IQ intelligence test: 14%
Here are the most commonly searched roles for interview reports -
the first round is the coding process, there are two questions within 45 minutes, the first one is an easier question and the second one is a medium question, the questions are leetcode similar question.
OA on Codesignal with standard machine learning questions (not deep learning) and easy coding question and 2 machine learning algorithm questions with provided functions (e.g. knn, means, decision tree, bagging). Time management is key.
I applied online. I interviewed at Pinterest in Oct 2022
Interview
Coding Round -> Live Coding -> Team Interview -> Decision Enough resources are provided to crack the interview, feedback is provided after the interview. Recruiter is very responsive throughout the process!
Interview questions [1]
Question 1
Implement K-means from scratch, Basic ML questions etc