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      Forterra

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      Deep Learning Engineer Interview

      5 Nov 2024
      Anonymous interview candidate
      No offer
      Neutral experience

      Other Deep Learning Engineer interview reviews for Forterra

      Deep Learning Engineer Interview

      14 Nov 2024
      Anonymous interview candidate
      Midtown New York
      No offer

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      Difficult interview

      Application

      I applied online. The process took 2 weeks. I interviewed at Forterra in Oct 2024

      Interview

      Initial interview (~ 15min phone screen / Zoom chat) with HR. Some questions asked: 1) why are you looking for a new position outside of current company, 2) tell me about yourself / elevator pitch, and 3) what is your experience with LiDAR sensors and data. Second interview with directly with hiring manager via Zoom (with video). This interview was ~60min and was comprised of two parts: 1) coding exercise (leetcode type coding question while screen sharing with the hiring manager) and 2) a conceptual computer vision question about how to create a classifier to classify points with a LiDAR dataset (3D point cloud). I think there would have been a third interview with multiple team members had I done well enough on the second interview.

      Interview questions [5]

      Question 1

      Why are you looking for a new position outside of current company?
      Answer question

      Question 2

      Tell me about yourself / elevator pitch.
      Answer question

      Question 3

      What is your experience with LiDAR sensors and data?
      Answer question

      Question 4

      A set S of n integers originally contains all of the numbers from 1 to n (and no other numbers). Due to corruption, exactly one of the numbers in the set S is duplicated onto another number in the set. The corrupted set has the integers 1 to n, with one number repeated and one missing number. Neither the original nor the corrupted sets are guaranteed to be in order. The original array is not given to us. Write a function which takes an integer array of arbitrary length at runtime (the corrupted set) as input, and returns the duplicated number and the missing number as an array.
      Answer question

      Question 5

      How would you create a classifier to classify a point P in a LiDAR dataset as either belonging to a "blob"-type object (trees, etc), a "plane"-type object (side of building, road, etc), or a "line"-type object (street sign, etc) using only x, y, z information of the point in question and the x, y, z coordinates of other points in a given neighborhood R.
      1 Answer
      Negative experience
      Average interview

      Application

      I applied online. The process took 4 weeks. I interviewed at Forterra (Midtown New York) in Sept 2024

      Interview

      Initial phone screen, then a technical interview with a member of the perception team. Interview had a reasonable coding problem followed by some perception questions. Perception questions included both DL/NN topics as well as a traditional perception/classification. Overall I enjoyed the interview and appreciated the perception questions asked. Advanced to full loop stage, but due to some restructuring of the perception team this was cancelled. Very frustrating after having made arrangements to take the whole day interviewing with them.

      Interview questions [1]

      Question 1

      Standard DL/NN questions about common architectures. One niche DL for CV architecture question that tripped me up. Finally a traditional perception problem.
      Answer question
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