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      Machine Learning Engineer Interview

      14 Sept 2017
      Anonymous interview candidate
      Los Angeles, CA
      No offer
      Positive experience
      Difficult interview

      Application

      I applied online. I interviewed at Databricks (Los Angeles, CA) in Aug 2017

      Interview

      Interview is 4 rounds. First is introduction call, second technical over phone and shared computer screen, third is take home quiz and fourth is on site for 6 hours. The lady called me 15 minutes late for interview call due to her previous meeting ran late, that is okay for me but for some people it might be not professional, also instead of half hour she cut down my time to 15 minutes as she had another interview call after me. Technical was really good, there are some smart people working there and the person who took my interview- Xiangrui Meng, he was very polite and he understood the answers I gave. It happens very less frequently with me.

      Interview questions [1]

      Question 1

      Mostly we discussed about my research work and questions were based on that followed by one java program to solve matrix multiplication with a twist.
      2 Answers
      1

      Other Machine Learning Engineer interview reviews for Databricks

      Machine Learning Engineer Interview

      5 Sept 2017
      Anonymous employee
      San Francisco, CA
      Accepted offer
      Neutral experience
      Average interview

      Application

      I applied online. I interviewed at Databricks (San Francisco, CA) in Aug 2017

      Interview

      Applied online, the application had a non-trivial math/programming question that took me at least an hour. I had one phone screen, was given a coding assignment that took me a weekend (I implemented two approaches, and wrote about both in my documentation although I only submitted the second), then had onsites. I had about 5 technical interviews during the day onsite. They were all pretty easy except one subtle algorithm problem where I came up with a O(n lgk) solution and the optimal was a tricky O(n). I did not see it until it was thoroughly explained to me, and I believe this is one reason I didn't get an offer. The major reason I believe I didn't get an offer was because they seemed to want someone with more experience, even though they read my resume. Most of the employees seem to have PhDs or be as old, but I have just graduated from undergrad (but I've been studying graduate level ML material for months). Most of the people that interviewed me (quite a few) were very nice and competent. One thing that annoyed me was that they let me know the day after onsites that I didn't get an offer by the job application system, as if I had never advanced passed the application stage, and so I got no feedback. Process was very fast. I just wished they hadn't wasted all of our time if they were looking for someone with more experience.

      Interview questions [1]

      Question 1

      All technical questions. Mostly easy algorithms questions. I applied for ML engineer but only one interview was on machine learning, and it wasn't coding and I didn't even have to write a single equation.
      1 Answer
      1