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      Deep Reinforcement Learning Researcher Interview

      29 May 2019
      Anonymous employee
      San Francisco, CA
      Accepted offer
      Positive experience
      Average interview

      Application

      I applied in-person. The process took 1 day. I interviewed at Unity (San Francisco, CA) in May 2019

      Interview

      My first interview was a one hour skype call with a software engineer on the ML team. We first had a technical research discussion and then a higher level discussion about what the unity ML toolkit will provide for the ML/RL community. Then, a fairly standard 20 minute coding interview through coderpad. I was invited for an onsite interview the following week. The day consisted of 3 technical machine learning interviews (research discussion or solve a problem), 1 coding interview with an engineer and 1 behavioral interview with a project manager with a one hour break for lunch. Two of the ML interviews were more open-ended technical discussions and one was probing understanding of particular algorithms/methods. Everyone was extremely friendly and patient during the interviews. The HR team was incredibly helpful in organizing everything (flight, hotels etc.).

      Interview questions [1]

      Question 1

      How do you manage stress/work on a team? Tell us about your research. How would you approach this type of ML problem?
      Answer question

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