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      Applied Deep Learning Research Interview

      Mar 8, 2017
      Anonymous employee
      Accepted offer
      Positive experience
      Average interview

      Application

      I applied through other source. I interviewed at NVIDIA

      Interview

      2 rounds of phone interviews. first one was with VP of Applied DL research. Talked about my recent projects in DL, specifically in applied medical DL. There were some general questions on my routine model architecture design, (regularization, training, parameter tuning etc.). I asked about ongoing projects. The second round was with a senior engineer from the same team. it was a coding interview on CoderPad(the research team uses mostly python). 2 questions, first one is basically the implementation of the equivalent of scipy.stats.rv_discrete.

      Interview questions [1]

      Question 1

      The second round was with a senior engineer from the same team. it was a coding interview on CoderPad(the research team uses mostly python). 2 questions, first one is basically the implementation of the equivalent of scipy.stats.rv_discrete.
      2 Answers
      7

      Other Applied Deep Learning Research Interview Reviews for NVIDIA

      Applied Deep Learning Research Interview

      Aug 16, 2023
      Anonymous Interview Candidate
      No offer
      Negative experience
      Easy interview

      Application

      I applied online. The process took 3 months. I interviewed at NVIDIA in Jun 2023

      Interview

      Recruiter reached out over 1 month after I had submitted the initial application to schedule an interview. I asked the recruiter about the interview format (behavioral vs technical, etc.) but they never responded. I met with the Hiring Manager for a 45 minute interview to evaluate experience and overall fit. Interview was positive but ultimately I heard back 1 month later with rejection. Reviewer failed to respond to prior requests for an application status update.

      Interview questions [1]

      Question 1

      First 10 minutes were spent discussing the team's background, goals, and current projects. Then 3- minutes for questions pertaining to my technical background and prior projects that overlapped with the work their team was doing. Remaining 5 minutes for Q&A.
      Answer question