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Pinterest Interview Questions

Review this list of 41 Pinterest interview questions and answers verified by hiring managers and candidates.
  • Pinterest logoAsked at Pinterest 
    2 answers

    "Something not mentioned in my resume is my hobbies. I have a strong interest in analyzing situations, which I enjoy as a mental exercise. I'm also skilled at painting and have a passion for reading books, which helps me broaden my perspective."

    Manaswini D. - "Something not mentioned in my resume is my hobbies. I have a strong interest in analyzing situations, which I enjoy as a mental exercise. I'm also skilled at painting and have a passion for reading books, which helps me broaden my perspective."See full answer

    Data Analyst
    Behavioral
    +1 more
  • Product Manager
    Product Design
  • "People interested in travel on Pinterest are looking for inspiration, information, and interaction. They want to discover new places, learn useful tips, and connect with other travelers. To improve their experience, I would suggest the following ideas: Create curated collections of travel pins: Pinterest users love to browse and save pins that match their interests and preferences. By creating curated collections of travel pins, you can showcase the best content from different sources and"

    Anonymous Dove - "People interested in travel on Pinterest are looking for inspiration, information, and interaction. They want to discover new places, learn useful tips, and connect with other travelers. To improve their experience, I would suggest the following ideas: Create curated collections of travel pins: Pinterest users love to browse and save pins that match their interests and preferences. By creating curated collections of travel pins, you can showcase the best content from different sources and"See full answer

    Product Design
  • Pinterest logoAsked at Pinterest 
    1 answer

    "Clarifying Slack is a mature product in markets with millions of users B2B platform Expand customer base to school boards SWOT Technology is mature and well reputed Good privacy practices Threats Google school Microsoft learning education Zoom Journeys User Users for slack - for - school School boards 12 school boards Primary Secondary High Universities - Remote learning / Distant educations - Incumbents MooCs - Existing platform End Users: Students Teachers Administrators Ed"

    Hl M. - "Clarifying Slack is a mature product in markets with millions of users B2B platform Expand customer base to school boards SWOT Technology is mature and well reputed Good privacy practices Threats Google school Microsoft learning education Zoom Journeys User Users for slack - for - school School boards 12 school boards Primary Secondary High Universities - Remote learning / Distant educations - Incumbents MooCs - Existing platform End Users: Students Teachers Administrators Ed"See full answer

    Product Manager
    Product Design
    +1 more
  • Pinterest logoAsked at Pinterest 
    1 answer

    "clarification define a handyman: someone who's paid to do minor renovations or domestic repairs. define the app: standalone or within facebook or meta's app family? why are we designing this? should I come up with a goal (engagement, monetization)? constraints (financials/timeline)? goal: adoption. since it's a new app, i want ppl to adopt first and then monetize the users. I'd define a handyman as someone who's paid by app users to do minor fixes, such as unc"

    Aiden L. - "clarification define a handyman: someone who's paid to do minor renovations or domestic repairs. define the app: standalone or within facebook or meta's app family? why are we designing this? should I come up with a goal (engagement, monetization)? constraints (financials/timeline)? goal: adoption. since it's a new app, i want ppl to adopt first and then monetize the users. I'd define a handyman as someone who's paid by app users to do minor fixes, such as unc"See full answer

    Product Manager
    Product Design
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  • Pinterest logoAsked at Pinterest 
    1 answer

    "Relu = 0 if > some threshold else x sigmoid normalizes to 0-1 asymptotically"

    William M. - "Relu = 0 if > some threshold else x sigmoid normalizes to 0-1 asymptotically"See full answer

    Machine Learning Engineer
    Concept
  • Pinterest logoAsked at Pinterest 
    Add answer
    Machine Learning Engineer
    Machine Learning
  • Behavioral
  • Pinterest logoAsked at Pinterest 
    1 answer

    "The difference between convex and nonconvex functions lies in their mathematical properties and the implications for optimization problems. Convex Functions:A convex function has a shape where any line segment connecting two points on its graph lies entirely above or on the graph. This property ensures that any local minimum is also a global minimum, making optimization straightforward and reliable. Convex functions are critical in machine learning and optimization tasks because of th"

    Alan T. - "The difference between convex and nonconvex functions lies in their mathematical properties and the implications for optimization problems. Convex Functions:A convex function has a shape where any line segment connecting two points on its graph lies entirely above or on the graph. This property ensures that any local minimum is also a global minimum, making optimization straightforward and reliable. Convex functions are critical in machine learning and optimization tasks because of th"See full answer

    Machine Learning Engineer
    Concept
  • Pinterest logoAsked at Pinterest 
    1 answer

    "For a dataset with one million data points, a Deep Neural Network (DNN) is almost always the superior choice over a K-Nearest Neighbors (KNN) algorithm. The primary reasons for this preference involve computational efficiency, scalability, and the ability to handle high-dimensional data. 1. Computational Complexity (Inference Time) KNN: It is a "lazy learner." It doesn't actually "learn" a model; instead, it stores the entire dataset. To make a single prediction, it must calcul"

    Woosung J. - "For a dataset with one million data points, a Deep Neural Network (DNN) is almost always the superior choice over a K-Nearest Neighbors (KNN) algorithm. The primary reasons for this preference involve computational efficiency, scalability, and the ability to handle high-dimensional data. 1. Computational Complexity (Inference Time) KNN: It is a "lazy learner." It doesn't actually "learn" a model; instead, it stores the entire dataset. To make a single prediction, it must calcul"See full answer

    Machine Learning Engineer
    Concept
  • Pinterest logoAsked at Pinterest 
    Add answer
    Machine Learning Engineer
    Behavioral
  • Pinterest logoAsked at Pinterest 
    Add answer
    BizOps & Strategy
    Behavioral
    +2 more
  • Pinterest logoAsked at Pinterest 
    1 answer

    "You should be able to identify this as a clear Strategy Question, which asks you to justify high-level business decisions and strategy. One thing to note is the interviewer said "briefly". Be concise and to the point. Here are some good arguments for the Youtube acquisition: > There are a few reasons why Google would want to acquire YouTube. I'll go over a few of the main reasons why I think they went ahead with such a large acquisition. At the time of the YouTube acquisition, Google and You"

    Exponent - "You should be able to identify this as a clear Strategy Question, which asks you to justify high-level business decisions and strategy. One thing to note is the interviewer said "briefly". Be concise and to the point. Here are some good arguments for the Youtube acquisition: > There are a few reasons why Google would want to acquire YouTube. I'll go over a few of the main reasons why I think they went ahead with such a large acquisition. At the time of the YouTube acquisition, Google and You"See full answer

    Product Manager
    Product Strategy
  • Pinterest logoAsked at Pinterest 
    Add answer
    Machine Learning Engineer
    Concept
  • Pinterest logoAsked at Pinterest 
    Add answer
    Product Manager
    Product Design
  • Pinterest logoAsked at Pinterest 
    1 answer

    "Overfitting is the condition where your model is giving an unexpectedly higher accuracy because of its training in a small database and not getting exposed to anu different type of database while testing"

    Bhavya V. - "Overfitting is the condition where your model is giving an unexpectedly higher accuracy because of its training in a small database and not getting exposed to anu different type of database while testing"See full answer

    Machine Learning Engineer
    Concept
  • Pinterest logoAsked at Pinterest 
    Add answer
    Machine Learning Engineer
    Concept
  • Pinterest logoAsked at Pinterest 
    Add answer
    Machine Learning Engineer
    Concept
  • Pinterest logoAsked at Pinterest 
    Add answer
    Security Engineer
    Technical
  • BizOps & Strategy
    Data Analysis
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