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      Deep Learning Engineer Interview

      30 Mar 2021
      Anonymous interview candidate
      Seoul
      No offer
      Positive experience
      Average interview

      Application

      I applied online. The process took 2 days. I interviewed at Qualcomm (Seoul) in Mar 2021

      Interview

      The interview was on the phone call, where the engineer in the team checks your background and knowledge about the jobs. It was very informative and insightful about what I should expect to work if I got the job.

      Interview questions [1]

      Question 1

      Introduce yourself Where else did I apply to? What is my plan after graduation? Ph.D vs Jobs What is my thesis about? What’s your own contribution? Feature based visual SLAM vs direct method What is the effect of illumination change on both types of SLAM? What are the benefits of using visual features such as ORB, SIFT etc. Explain epipolar geometry and homogeneous coordinate. Why SIFT is robust to illumination change, why does it use features pyramid Explain about monocular depth estimation Why do they use L1 loss in appearance matching? In packnet-sfm for example? Why does training a neural network can diverge sometimes? What can we do about it?
      Answer question
      2

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