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      YANDEX

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      ML Engineer Interview

      24 Nov 2025
      Anonymous interview candidate
      No offer
      Positive experience
      Average interview

      Application

      I interviewed at YANDEX

      Interview

      The interview process consists of five stages: an initial HR interview, a technical interview covering algorithms, data structures, and classic machine learning concepts, a specialized interview focused on a chosen topic, a detailed algorithm challenge, and finally, a team matching session to ensure a good fit.

      Interview questions [1]

      Question 1

      HR asked general questions about experience.
      Answer question

      Other ML Engineer interview reviews for YANDEX

      ML Engineer Interview

      18 Jul 2025
      Anonymous interview candidate
      No offer
      Neutral experience
      Average interview

      Application

      I interviewed at YANDEX

      Interview

      recruiter was nice and then the technical interview was nice, asked questions. but then for some reason failed me. asked the recruiter for a reason, and they said that i need to learn more.

      Interview questions [1]

      Question 1

      when to use logit vs. normal regression
      Answer question

      ML Engineer Interview

      23 Jan 2025
      Anonymous employee
      Moscow, Moskva
      Accepted offer
      Neutral experience
      Average interview

      Application

      I interviewed at YANDEX (Moscow, Moskva)

      Interview

      First Stage: Machine Learning and Coding Evaluation Duration: 1 hour Components: Elementary LeetCode algorithmic challenge In-depth theoretical Machine Learning interrogation Focus: Blend of practical coding and theoretical ML knowledge Second Stage: Advanced Algorithmic Section Duration: Total 1 hour (30 minutes per problem) Challenge Structure: Two medium-complexity LeetCode algorithmic problems Progressively increasing difficulty Objective: Evaluate advanced problem-solving and computational thinking skills

      Interview questions [3]

      Question 1

      Why Logistic Regression Correctly Estimates Probabilities
      Answer question

      Question 2

      What gradient descent algorithms do you know
      Answer question

      Question 3

      How you can compare different models(questions about statistics)
      Answer question

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