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      Applied Scientist Interview

      Feb 24, 2020
      Anonymous Interview Candidate
      No offer
      Neutral experience
      Difficult interview

      Application

      I interviewed at Amazon

      Interview

      Asked questions on machine learning, such as under represented samples. Live coding exercise on recursion. Overall, decent interview over video call. It was one hour long and taken by a member of the technical team.

      Interview questions [1]

      Question 1

      How can we deal with situations where some machine learning classes are under-represented?
      Answer question

      Other Applied Scientist Interview Reviews for Amazon

      Applied Scientist Interview

      Jun 29, 2026
      Anonymous employee
      Accepted offer
      Positive experience
      Average interview

      Application

      I interviewed at Amazon

      Interview

      Phone screen interview Then onsite interviews: 5 interviews two on coding and three on science and a tech talk You choose a topic for the presentation The science interviews are: one on science depth, one on science breath and one on science applications

      Interview questions [1]

      Question 1

      Question on optimizers; comparing gradient decent, adam optimizer etc
      Answer question

      Applied Scientist Interview

      Apr 21, 2026
      Anonymous Interview Candidate
      Seattle, WA
      No offer
      Neutral experience
      Difficult interview

      Application

      I interviewed at Amazon (Seattle, WA)

      Interview

      Applied for Amazon AGI. After first round, it will go into full round of multiple interviews. Lots of modern LLM training technic questions. There are still some behavioral questions, but less than general Amazon roles.

      Applied Scientist Interview

      Apr 8, 2026
      Anonymous employee
      Accepted offer
      Positive experience
      Average interview

      Application

      I interviewed at Amazon

      Interview

      Interviewed with 1 phone screen, 1 coding, 2 ml design and 2 lp rounds. Most questions were non-leetcode questions more related to day to day ml implementations. The questions were very practical.