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Machine Learning Engineer System Design Interview Questions

Review this list of 42 System Design Machine Learning Engineer interview questions and answers verified by hiring managers and candidates.
  • TikTok logoAsked at TikTok 
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    Machine Learning Engineer
    System Design
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  • Meta logoAsked at Meta 
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    "FN Given text need to figure out is it following guidelines. Should notify the user in case of not following guidelines. Reason for failure should have misleading/spam/adult filters. NFN High availability High Scalability Low latency of processing Estimations 1M requests/min text - 10kb => 9.5GB/min => 14TB/day API fetchmoderationscore(text) score will be between 0 to 1 more than 0.8 => not following guidelines fetchmoderationscore(text, filter)"

    Deepak K. - "FN Given text need to figure out is it following guidelines. Should notify the user in case of not following guidelines. Reason for failure should have misleading/spam/adult filters. NFN High availability High Scalability Low latency of processing Estimations 1M requests/min text - 10kb => 9.5GB/min => 14TB/day API fetchmoderationscore(text) score will be between 0 to 1 more than 0.8 => not following guidelines fetchmoderationscore(text, filter)"See full answer

    Machine Learning Engineer
    System Design
  • TikTok logoAsked at TikTok 
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    "Sharing the approach for functional requirements we tool to solve this question. Functional Requirements This is only for the Registered users What is a "For You" page ? Home page where you get suggestions based on people you follow. Interactions like/share/comments (done by user) Interests (shared by the user during registration or onboarding) sports choices/ region choices/ Video sharing platform. So how many videos should we s"

    Anonymous Hare - "Sharing the approach for functional requirements we tool to solve this question. Functional Requirements This is only for the Registered users What is a "For You" page ? Home page where you get suggestions based on people you follow. Interactions like/share/comments (done by user) Interests (shared by the user during registration or onboarding) sports choices/ region choices/ Video sharing platform. So how many videos should we s"See full answer

    Machine Learning Engineer
    System Design
  • Hubspot logoAsked at Hubspot 
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    Machine Learning Engineer
    System Design
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  • Amazon logoAsked at Amazon 
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    Machine Learning Engineer
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  • Perplexity AI logoAsked at Perplexity AI 
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    Machine Learning Engineer
    System Design
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  • Meta logoAsked at Meta 
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    Machine Learning Engineer
    System Design
  • Capital One logoAsked at Capital One 
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    Machine Learning Engineer
    System Design
  • LangChain logoAsked at LangChain 
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    Machine Learning Engineer
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  • JP Morgan Chase logoAsked at JP Morgan Chase 
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    "It might not be a good idea to predict stock prices only based on reddit comments. You could create a signal from reddit comments that can indicate "social media interest" and feed it into a ML system (along with other features) that predicts prices. Collecting good data to train the model and evaluating it correctly are going to be huge challenges."

    Satyajit G. - "It might not be a good idea to predict stock prices only based on reddit comments. You could create a signal from reddit comments that can indicate "social media interest" and feed it into a ML system (along with other features) that predicts prices. Collecting good data to train the model and evaluating it correctly are going to be huge challenges."See full answer

    Machine Learning Engineer
    System Design
  • OpenAI logoAsked at OpenAI 
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    Machine Learning Engineer
    System Design
  • Meta logoAsked at Meta 
    1 answer

    "Functional requirement's: partial search while searching for users, products any keywords in the search. additional keywords in the filter Black listed words in the search. Non functional requirements: low latency, search through 2 Billion records recent search should be cached. Design: high reads, we should have caching enabled over the primary db storages. caching cluster can be added when the search load increases. read ahead. - check in cache (periodic cache refresh), lfu, lru "

    Sandeep Y. - "Functional requirement's: partial search while searching for users, products any keywords in the search. additional keywords in the filter Black listed words in the search. Non functional requirements: low latency, search through 2 Billion records recent search should be cached. Design: high reads, we should have caching enabled over the primary db storages. caching cluster can be added when the search load increases. read ahead. - check in cache (periodic cache refresh), lfu, lru "See full answer

    Machine Learning Engineer
    System Design
  • Meta logoAsked at Meta 
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    Machine Learning Engineer
    System Design
  • Pinterest logoAsked at Pinterest 
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    Machine Learning Engineer
    System Design
  • Dropbox logoAsked at Dropbox 
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    Machine Learning Engineer
    System Design
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  • Meta logoAsked at Meta 
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    Machine Learning Engineer
    System Design
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  • Meta logoAsked at Meta 
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    Machine Learning Engineer
    System Design
  • "For data distribution drift: DL Divergence or PSI (Population Stability Index) performance: two categories: 1st operational metrics: runtime. 2nd model performance: loss function, MAE (regression), business metrics: overall watch time, DAU, revenue lift etc Outlier: data distribution"

    L B. - "For data distribution drift: DL Divergence or PSI (Population Stability Index) performance: two categories: 1st operational metrics: runtime. 2nd model performance: loss function, MAE (regression), business metrics: overall watch time, DAU, revenue lift etc Outlier: data distribution"See full answer

    Machine Learning Engineer
    System Design
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  • Google logoAsked at Google 
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    Machine Learning Engineer
    System Design
  • Capital One logoAsked at Capital One 
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    Machine Learning Engineer
    System Design
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