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      PhD Machine Learning Intern Interview

      22 Feb 2025
      Anonymous interview candidate
      Palo Alto, CA
      No offer
      Positive experience
      Average interview

      Application

      I interviewed at Pinterest (Palo Alto, CA)

      Interview

      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.

      Interview questions [1]

      Question 1

      Naive Bayes in Python Gradient Descent in Python String Manipulation PCA vs LDA (when to use and why) Sigmoid Function Regularization Techniques in ML AUROC, AUPRC
      Answer question