ML intern applicants have rated the interview process at Pinterest with 4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 49.4% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at Pinterest as a ML intern according to 2 Glassdoor interviews include:
Phone interview: 100%
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OA is pretty difficult, Some ML quick questions, a neural network forward inference calculation, and the last three are leetcode-like coding. Total ten questions: the last one I could not solve.
Interview questions [1]
Question 1
Neural network forward inference calculation: what is the output from the input vector given the neural network weight and bias.
It was a good experience. We discussed different details on my resume, with me explaining some models on it. Then I had a LC Hard question. There were ML Fundamentals also as a part of it.