Pinterest PhD Machine Learning Intern interview questions

The interview process consisted of two rounds: (1) A codesignal assessment which had 10 questions. 7/10 questions were ML multiple choice and short answer The last three were all coding questions. Two of the coding questions involved implementing Naive Bayes and Gradient Descent. The final coding question was about a LeetCode Medium. (2) The second round was a 60 minute technical interview with a Pinterest Engineer. It consisted of answering some fundamental questions on Machine Learning - followed by a LeetCode Medium difficulty level question. Overall experience was pleasant despite not getting the hire. I honestly believe they were fair.