Machine Learning Engineer Interview Questions

Review this list of 210 machine learning engineer interview questions and answers verified by hiring managers and candidates.
  • Apple logoAsked at Apple 

    "Hey Grandma, you've had a lot of experience with infants, haven't you? When they were babies, you taught them how to chew in their first six months. This initial phase is like giving them data. Once they learned how to chew, they could handle any food you gave them. Next, you refined their learning by teaching them that they should only chew on food. This is like refining the data so they understand what is relevant. Then, a few months later, they started crawling and walking, learning by observ"

    Hari priya K. - "Hey Grandma, you've had a lot of experience with infants, haven't you? When they were babies, you taught them how to chew in their first six months. This initial phase is like giving them data. Once they learned how to chew, they could handle any food you gave them. Next, you refined their learning by teaching them that they should only chew on food. This is like refining the data so they understand what is relevant. Then, a few months later, they started crawling and walking, learning by observ"See full answer

    Machine Learning Engineer
    Concept
  • Capital One logoAsked at Capital One 

    "Follow news and resources via conferences or top companies' blogs, such as NeurIPS 2023 or Google Research Blog to get updates about the machine learning landscape. Research the papers on the new technology or approach that was mentioned or introduced via the subscribed sources, such as listed above. Following media channels, podcasts, or influencers on social media who were recently active in the industry to catch up with the trending and valuable insights, research, thoughts... Scan Github"

    Ban N. - "Follow news and resources via conferences or top companies' blogs, such as NeurIPS 2023 or Google Research Blog to get updates about the machine learning landscape. Research the papers on the new technology or approach that was mentioned or introduced via the subscribed sources, such as listed above. Following media channels, podcasts, or influencers on social media who were recently active in the industry to catch up with the trending and valuable insights, research, thoughts... Scan Github"See full answer

    Machine Learning Engineer
    Behavioral
    +1 more
  • Adobe logoAsked at Adobe 
    Video answer for 'Merge k sorted linked lists.'
    +6

    "A much better solution than the one in the article, below: It looks like the ones writing articles here in Javascript do not understand the time/space complexity of javascript methods. shift, splice, sort, etc... In the solution article you have a shift and a sort being done inside a while, that is, the multiplication of Ns. My solution, below, iterates through the list once and then sorts it, separately. It´s O(N+Log(N)) class ListNode { constructor(val = 0, next = null) { th"

    Guilherme F. - "A much better solution than the one in the article, below: It looks like the ones writing articles here in Javascript do not understand the time/space complexity of javascript methods. shift, splice, sort, etc... In the solution article you have a shift and a sort being done inside a while, that is, the multiplication of Ns. My solution, below, iterates through the list once and then sorts it, separately. It´s O(N+Log(N)) class ListNode { constructor(val = 0, next = null) { th"See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +4 more
  • "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
    +1 more
  • Nvidia logoAsked at Nvidia 

    "Clarifying When we say cloud gaming, we refer to a video gaming experience using cloud computing, right? Assumption: Yes. Understanding of cloud computing first. I'll use some analogies: Imagine you are looking to do heavy computing but don't have a powerful CPU and GPU. CPU and GPU are like your big calculators. You can buy a powerful CPU and GPU, but problems: It costs a lot to buy. It costs a lot to run. You don't need it 24-7. You are not a un"

    Darpan D. - "Clarifying When we say cloud gaming, we refer to a video gaming experience using cloud computing, right? Assumption: Yes. Understanding of cloud computing first. I'll use some analogies: Imagine you are looking to do heavy computing but don't have a powerful CPU and GPU. CPU and GPU are like your big calculators. You can buy a powerful CPU and GPU, but problems: It costs a lot to buy. It costs a lot to run. You don't need it 24-7. You are not a un"See full answer

    Machine Learning Engineer
    Concept
    +3 more
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  • Snap logoAsked at Snap 
    Machine Learning Engineer
    Concept
  • Apple logoAsked at Apple 
    Machine Learning Engineer
    Data Structures & Algorithms
    +4 more
  • Google logoAsked at Google 
    +1

    "Deep Learning is a part of Artificial Intelligence, it's like teaching the machine to think and make decisions on its own. It's like how we teach a child the concept of an apple - it's round, red, has a stem on top. We show them multiple pictures of apples and then they understand and can recognize an apple in future. Similarly, we feed lots of data to the machine, and slowly, it starts learning from that data, and can then make relevant predictions or decisions based on what it has learnt. A co"

    Surbhi G. - "Deep Learning is a part of Artificial Intelligence, it's like teaching the machine to think and make decisions on its own. It's like how we teach a child the concept of an apple - it's round, red, has a stem on top. We show them multiple pictures of apples and then they understand and can recognize an apple in future. Similarly, we feed lots of data to the machine, and slowly, it starts learning from that data, and can then make relevant predictions or decisions based on what it has learnt. A co"See full answer

    Machine Learning Engineer
    Concept
    +3 more
  • Amazon logoAsked at Amazon 
    Machine Learning Engineer
    Behavioral
    +1 more
  • Discord logoAsked at Discord 
    Machine Learning Engineer
    Behavioral
    +4 more
  • Google logoAsked at Google 

    "Grandma! You know how we can look at a picture and know what's in it—like seeing a cat or a dog? Computers can learn to do that too! It's just they use special tricks and math to see and understand pictures or videos. It helps them figure out what's in the pictures, almost like how we do! Almost like giving it eyes to see the world in its own way!"

    Praveen D. - "Grandma! You know how we can look at a picture and know what's in it—like seeing a cat or a dog? Computers can learn to do that too! It's just they use special tricks and math to see and understand pictures or videos. It helps them figure out what's in the pictures, almost like how we do! Almost like giving it eyes to see the world in its own way!"See full answer

    Machine Learning Engineer
    Concept
  • Walmart Labs logoAsked at Walmart Labs 
    Machine Learning Engineer
    Behavioral
    +5 more
  • Bloomberg logoAsked at Bloomberg 

    "Implemented the Java code to find the largest island. It is similar to count the island. But in this we need to keep track of max island and compute its perimeter."

    Techzen I. - "Implemented the Java code to find the largest island. It is similar to count the island. But in this we need to keep track of max island and compute its perimeter."See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +2 more
  • Meta (Facebook) logoAsked at Meta (Facebook) 
    Machine Learning Engineer
    Product Design
    +1 more
  • Adobe logoAsked at Adobe 
    +5

    "bool isValidBST(TreeNode* root, long min = LONGMIN, long max = LONGMAX){ if (root == NULL) return true; if (root->val val >= max) return false; return isValidBST(root->left, min, root->val) && isValidBST(root->right, root->val, max); } `"

    Alvaro R. - "bool isValidBST(TreeNode* root, long min = LONGMIN, long max = LONGMAX){ if (root == NULL) return true; if (root->val val >= max) return false; return isValidBST(root->left, min, root->val) && isValidBST(root->right, root->val, max); } `"See full answer

    Machine Learning Engineer
    Coding
    +4 more
  • Machine Learning Engineer
    Concept
    +1 more
  • Machine Learning Engineer
    System Design
  • Apple logoAsked at Apple 
    Machine Learning Engineer
    Concept
  • Machine Learning Engineer
    Concept
    +1 more
  • Capital One logoAsked at Capital One 
    Machine Learning Engineer
    System Design
Showing 101-120 of 210