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Machine Learning Engineer Interview Questions

Review this list of 292 Machine Learning Engineer interview questions and answers verified by hiring managers and candidates.
  • Adobe logoAsked at Adobe 
    4 answers
    +1

    "static boolean sudokuSolve(char board) { return sudokuSolve(board, 0, 0); } static boolean sudokuSolve(char board, int r, int c) { if(c>=board[0].length) { r=r+1; c=0; } if(r>=board.length) return true; if(boardr=='.') { for(int num=1; num<=9; num++) { boardr=(char)('0' + num); if(isValidPosition(board, r, c)) { if(sudokuSolve(board, r, c+1)) return true; } boardr='.'; } } else { return sudokuSolve(board, r, c+1); } return false; } static boolean isValidPosition(char b"

    Divya R. - "static boolean sudokuSolve(char board) { return sudokuSolve(board, 0, 0); } static boolean sudokuSolve(char board, int r, int c) { if(c>=board[0].length) { r=r+1; c=0; } if(r>=board.length) return true; if(boardr=='.') { for(int num=1; num<=9; num++) { boardr=(char)('0' + num); if(isValidPosition(board, r, c)) { if(sudokuSolve(board, r, c+1)) return true; } boardr='.'; } } else { return sudokuSolve(board, r, c+1); } return false; } static boolean isValidPosition(char b"See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +4 more
  • LinkedIn logoAsked at LinkedIn 
    1 answer

    "We've identified the problem as a Design a Product question. Use the following framework for tackling these types of questions: Ask Clarifying Questions Identify users, behaviors, and pain points State product goal Identify current solutions Brainstorm new solutions Evaluate solutions Measure success Summarize We'll go through each of these step by step. Ask Clarifying Questions The PM interview isn't about your ability to come up w"

    Exponent - "We've identified the problem as a Design a Product question. Use the following framework for tackling these types of questions: Ask Clarifying Questions Identify users, behaviors, and pain points State product goal Identify current solutions Brainstorm new solutions Evaluate solutions Measure success Summarize We'll go through each of these step by step. Ask Clarifying Questions The PM interview isn't about your ability to come up w"See full answer

    Machine Learning Engineer
    Product Design
    +1 more
  • Machine Learning Engineer
    Concept
    +1 more
  • Snap logoAsked at Snap 
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    Machine Learning Engineer
    Artificial Intelligence
    +3 more
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  • Capital One logoAsked at Capital One 
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    Machine Learning Engineer
    System Design
  • Meta logoAsked at Meta 
    1 answer

    "Problem: Given a modified binary tree, where each node also has a pointer to it's parent, find the first common ancestor of two nodes. Answer: As it happens, the structure that we're looking at is actually a linked list (one pointer up), so the problem is identical to trying to find if two linked lists share a common node. How this works is by stacking the two chains of nodes together so they're the same length. chain1 = node1 chain2= node2 while True: chain1 = chain1.next chain2=chain"

    Michael B. - "Problem: Given a modified binary tree, where each node also has a pointer to it's parent, find the first common ancestor of two nodes. Answer: As it happens, the structure that we're looking at is actually a linked list (one pointer up), so the problem is identical to trying to find if two linked lists share a common node. How this works is by stacking the two chains of nodes together so they're the same length. chain1 = node1 chain2= node2 while True: chain1 = chain1.next chain2=chain"See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +1 more
  • Snap logoAsked at Snap 
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    Machine Learning Engineer
    Concept
  • Uber logoAsked at Uber 
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    Machine Learning Engineer
    Data Structures & Algorithms
    +1 more
  • Apple logoAsked at Apple 
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    Machine Learning Engineer
    Concept
  • Google logoAsked at Google 
    2 answers

    "i use google frequently, but most of the time i use for syntax and terms which i dont undestand, google is my go to guy."

    Ankit R. - "i use google frequently, but most of the time i use for syntax and terms which i dont undestand, google is my go to guy."See full answer

    Machine Learning Engineer
    Behavioral
  • Apple logoAsked at Apple 
    3 answers

    "class TrieNode { constructor() { this.children = {}; this.isEndOfWord = false; } } class Trie { constructor() { this.root = new TrieNode(); } insert(word) { let node = this.root; for (const char of word) { if (!node.children[char]) { node.children[char] = new TrieNode(); } node = node.children[char]; } node.isEndOfWord = true; } search(word) { l"

    Tiago R. - "class TrieNode { constructor() { this.children = {}; this.isEndOfWord = false; } } class Trie { constructor() { this.root = new TrieNode(); } insert(word) { let node = this.root; for (const char of word) { if (!node.children[char]) { node.children[char] = new TrieNode(); } node = node.children[char]; } node.isEndOfWord = true; } search(word) { l"See full answer

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

    "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
  • Amazon logoAsked at Amazon 
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    Machine Learning Engineer
    Concept
    +1 more
  • Meta logoAsked at Meta 
    6 answers
    +3

    "My roles included: ➢ B2B Sales of sanitary ware products to clients ➢ Sourcing of New Businesses and Managing Existing Clients ➢ Responsible for managing sales unit ➢ Developing new sales lead to meet set target. ➢ Project Management Skills: Online Sales Management · Sales Management · Customer Engagement · Sales Operations · Direct Sales · B2B Marketing"

    Jerry D. - "My roles included: ➢ B2B Sales of sanitary ware products to clients ➢ Sourcing of New Businesses and Managing Existing Clients ➢ Responsible for managing sales unit ➢ Developing new sales lead to meet set target. ➢ Project Management Skills: Online Sales Management · Sales Management · Customer Engagement · Sales Operations · Direct Sales · B2B Marketing"See full answer

    Machine Learning Engineer
    Behavioral
    +3 more
  • Perplexity AI logoAsked at Perplexity AI 
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    Machine Learning Engineer
    Artificial Intelligence
    +2 more
  • Microsoft logoAsked at Microsoft 
    2 answers

    "BERT - bidirectional encoder representations from transformer. For example:- it takes an entire sentence as input at once and understands the meaning of the words in that sentence and calculate the relations of words with each other irrespective of their positions from the original word to understand the meaning of the word using neighboring words. BERT model is a pre trained transformer model which can be fine-tuned for our purposes. It is used for tasks such sentimental analysis, question answ"

    Bhavya V. - "BERT - bidirectional encoder representations from transformer. For example:- it takes an entire sentence as input at once and understands the meaning of the words in that sentence and calculate the relations of words with each other irrespective of their positions from the original word to understand the meaning of the word using neighboring words. BERT model is a pre trained transformer model which can be fine-tuned for our purposes. It is used for tasks such sentimental analysis, question answ"See full answer

    Machine Learning Engineer
    Concept
  • Samsung logoAsked at Samsung 
    1 answer

    "I've worked on projects not quite like this, but very similar, in the past - I'll borrow from that to answer this: The Broader Context this problem doesn't specify the type of data we're working with, or how it's being ingested to align with my personal background, I'll assume a picture that lends this problem well to being a computer vision (abbreviated "CV") related question: let's say we have a conveyor belt in a waste facility, which sequentially carries a stream of waste w"

    Zain R. - "I've worked on projects not quite like this, but very similar, in the past - I'll borrow from that to answer this: The Broader Context this problem doesn't specify the type of data we're working with, or how it's being ingested to align with my personal background, I'll assume a picture that lends this problem well to being a computer vision (abbreviated "CV") related question: let's say we have a conveyor belt in a waste facility, which sequentially carries a stream of waste w"See full answer

    Machine Learning Engineer
    Machine Learning
    +1 more
  • Apple logoAsked at Apple 
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    Machine Learning Engineer
    Technical
  • Discord logoAsked at Discord 
    Add answer
    Machine Learning Engineer
    Behavioral
    +4 more
Showing 181-200 of 292