Katkat

Company

Runway interview questions

2 practice questions in the style of Runway's interviews, covering ML System Design, Machine Learning.

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Runway interview questions by the numbers

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Katkat has 2 Runway interview questions. The largest topics are Machine Learning (50%) and ML System Design (50%). By difficulty: 100% hard. The most common round is Technical Screen (100%).

Topics

Difficulty

  • Hard100% · 2

Interview rounds

  • Technical Screen100% · 2

Roles

  • Machine Learning Engineer100% · 2

Showing 1–2 of 2 results

  • Design a scalable video search systemHard

    This interview question evaluates ML product requirements, data/labeling, modeling, serving architecture, evaluation, monitoring, and trade-offs in a realistic interview setting. A strong answer for Design a scalable video search system states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    RunwayMachine Learning EngineerML System DesignTechnical Screen
  • Implement n-gram model and select nHard

    This interview question evaluates core ML concepts, assumptions, math intuition, training/evaluation trade-offs, and practical failure modes in a realistic interview setting. A strong answer for Implement n-gram model and select n states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    RunwayMachine Learning EngineerMachine LearningTechnical Screen

Runway interview experiences

All 1 →
  • Two Phone Screens, Rejected in ML System DesignRunway · Machine Learning Engineer · Technical Screen · Aug 2025
    Rejected

    Sharing an interview experience for a lesser-known company. It's a video generation startup that seems to be doing pretty well lately. I mass-applied to one position, but the recruiter contacted me about a different role instead. There were two phone screens total, both 45 minutes. Round 1 was coding: implement an ngram class with fit and generate methods. fit reads a file and counts ngrams, and…

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