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      Machine Learning Interview

      Jan 29, 2020
      Anonymous Interview Candidate
      Lake St Louis, MO
      No offer
      Positive experience
      Average interview

      Application

      I applied online. The process took 2 weeks. I interviewed at Pinterest (Lake St Louis, MO) in Jan 2020

      Interview

      The recruiter was very friendly and easy to get in touch with. I applied in December and heard back around early January. They asked me to respond to a few behavioral questions (how does your PhD align with the role, 3 things that inspire you etc.) via email and then scheduled my technical coding interview. I didn't do well on the first coding interview but they have a redo option so I did that and did a bit better (still not great). But overall feedback and experience was good.

      Interview questions [2]

      Question 1

      Coding question: given an array of website names (mail.yahoo.com) and page views, find the number of times each subdomain (yahoo.com, .com, mail.yahoo.com) has occurred.
      1 Answer

      Question 2

      Coding question: given a list of student IDs and courses they are enrolled in, find the courses each pair of students are enrolled in.
      1 Answer
      1

      Other Machine Learning Interview Reviews for Pinterest

      Machine Learning Interview

      Oct 21, 2022
      Anonymous Interview Candidate
      No offer
      Positive experience
      Difficult interview

      Application

      I applied online. The process took 1+ week. I interviewed at Pinterest in Sep 2022

      Interview

      Applied on the site, received interview for the coding assessment a few days later. Pretty smooth but I did not perform well on it. The time to finish was short given the nature of questions. Harder than the ones I've done at FANG's, but it might also have been because I had misguided expectations.

      Interview questions [1]

      Question 1

      Two multiple choice questions about machine learning models, One that was closer to basic data science Two to implement machine learning algorithms "from the ground up"
      Answer question
      1