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Meta Machine Learning Engineer Interview Questions

Review this list of 89 Meta Machine Learning Engineer interview questions and answers verified by hiring managers and candidates.
  • Meta logoAsked at Meta 
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    Machine Learning Engineer
    System Design
    +1 more
  • Meta logoAsked at Meta 
    1 answer

    "I once had to change a decision i had previously made when I got stakeholder feedback that seemed to contradict what was already designed or already even built - such as the way a page was architected or the designs or colors used on a page. I had a justification for all decisions made, but sometimes the stakeholder feedback brings a perspective, such as a part of the user experience, that I had not thought of before. So I then went back to the original design or product and made an adjustment o"

    Sarah K. - "I once had to change a decision i had previously made when I got stakeholder feedback that seemed to contradict what was already designed or already even built - such as the way a page was architected or the designs or colors used on a page. I had a justification for all decisions made, but sometimes the stakeholder feedback brings a perspective, such as a part of the user experience, that I had not thought of before. So I then went back to the original design or product and made an adjustment o"See full answer

    Machine Learning Engineer
    Behavioral
    +1 more
  • Meta logoAsked at Meta 
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    Machine Learning Engineer
    Behavioral
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  • Meta logoAsked at Meta 
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    Machine Learning Engineer
    System Design
  • Meta logoAsked at Meta 
    14 answers
    Video answer for 'Generate Parentheses'
    +9

    " O(n) time from typing import List def generate_parentheses(n: int): res = [] def generate(buf, opened, closed): if len(buf) == 2 * n: if n != 0: res.append(buf) return if opened < n: generate( buf + "(", opened + 1, closed) if closed < opened: generate(buf + ")", opened, closed + 1) generate("", 0, 0) return res debug your code below print(generate_parentheses(1"

    Rick E. - " O(n) time from typing import List def generate_parentheses(n: int): res = [] def generate(buf, opened, closed): if len(buf) == 2 * n: if n != 0: res.append(buf) return if opened < n: generate( buf + "(", opened + 1, closed) if closed < opened: generate(buf + ")", opened, closed + 1) generate("", 0, 0) return res debug your code below print(generate_parentheses(1"See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +3 more
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  • Meta logoAsked at Meta 
    2 answers

    "I responded with a project that I was a part of during my capstone class. I described how I used HTML, Python, and PostGRESQL in conjunction to create a functioning website using SCRUM."

    Kanishkan V. - "I responded with a project that I was a part of during my capstone class. I described how I used HTML, Python, and PostGRESQL in conjunction to create a functioning website using SCRUM."See full answer

    Machine Learning Engineer
    Behavioral
    +4 more
  • Meta logoAsked at Meta 
    5 answers
    +2

    "def calc(expr): ans = eval(expr) return ans your code goes debug your code below print(calc("1 + 1")) `"

    Sarvesh G. - "def calc(expr): ans = eval(expr) return ans your code goes debug your code below print(calc("1 + 1")) `"See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +3 more
  • "Write a function which Caesar ciphers all the strings so that the first character is "a". Use ascii code points and the modulo operator to do this. Use this function to create a hashmap between each string and the CC-a string. Then go through each key:value pair in the hashmap, and use the CC-a ciphered value as the key in a new defaultdict(list), adding the original string to the value field in the output."

    Michael B. - "Write a function which Caesar ciphers all the strings so that the first character is "a". Use ascii code points and the modulo operator to do this. Use this function to create a hashmap between each string and the CC-a string. Then go through each key:value pair in the hashmap, and use the CC-a ciphered value as the key in a new defaultdict(list), adding the original string to the value field in the output."See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +2 more
  • Meta logoAsked at Meta 
    10 answers
    +7

    "function preorderToInorder(preorder) { let inorder = []; let stack = []; let root = preorder[0]; stack.push(root); for (let i = 1; i 0 && stack[stack.length - 1] 0) { root = stack.pop(); inorder.push(r"

    Ugo C. - "function preorderToInorder(preorder) { let inorder = []; let stack = []; let root = preorder[0]; stack.push(root); for (let i = 1; i 0 && stack[stack.length - 1] 0) { root = stack.pop(); inorder.push(r"See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +2 more
  • Meta logoAsked at Meta 
    13 answers
    Video answer for 'Merge k sorted linked lists.'
    +7

    "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
  • Meta logoAsked at Meta 
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    Machine Learning Engineer
    System Design
  • Meta logoAsked at Meta 
    4 answers
    +1

    "Approach 1: Use sorting and return the kth largest element from the sorted list. Time complexity: O(nlogn) Approach 2: Use max heap and then select the kth largest element. time complexity: O(n+logn) Approach 3: Quickselect. Time complexity O(n) I explained my interviewer the 3 approaches. He told me to solve in a naive manner. Used Approach 1 had some time left so coded approach 3 also The average time complexity of Quickselect is O(n), making it very efficient for its purpose. However, in"

    GalacticInterviewer - "Approach 1: Use sorting and return the kth largest element from the sorted list. Time complexity: O(nlogn) Approach 2: Use max heap and then select the kth largest element. time complexity: O(n+logn) Approach 3: Quickselect. Time complexity O(n) I explained my interviewer the 3 approaches. He told me to solve in a naive manner. Used Approach 1 had some time left so coded approach 3 also The average time complexity of Quickselect is O(n), making it very efficient for its purpose. However, in"See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +2 more
  • 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
    +1 more
  • Meta logoAsked at Meta 
    1 answer

    "I'm currently a School Bus Monitor at First Student, I make sure that the students on the bus are seated down, making sure they are safe during the bus ride. Sometimes depending on the day they may need me to help do a wheelchair so I sometimes help the driver out with making sure the wheelchair is safely secure, hooking up the 4 hooks on the wheelchair, putting the lap belt on the student and also making sure the student feels comfortable during the bus ride. After we finished dropping off our"

    Amparo L. - "I'm currently a School Bus Monitor at First Student, I make sure that the students on the bus are seated down, making sure they are safe during the bus ride. Sometimes depending on the day they may need me to help do a wheelchair so I sometimes help the driver out with making sure the wheelchair is safely secure, hooking up the 4 hooks on the wheelchair, putting the lap belt on the student and also making sure the student feels comfortable during the bus ride. After we finished dropping off our"See full answer

    Machine Learning Engineer
    Behavioral
    +5 more
  • Meta logoAsked at Meta 
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    Machine Learning Engineer
    Behavioral
    +4 more
  • Meta logoAsked at Meta 
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    Machine Learning Engineer
    System Design
    +1 more
  • Meta logoAsked at Meta 
    1 answer

    "Problem: Given an input string txt consisting of alphanumeric characters and the parentheses characters '(' & ')', write a function which removes the minimum number of characters to return a version of the string with properly balanced parenthesis. Answer: You can do this with a counter. Psuedo-Python Start with counter = 0 output = [] Iterate through the string, every time you encounter a '(', increment the counter. Add the character to the output. If you encounter a ')', decrement the coun"

    Michael B. - "Problem: Given an input string txt consisting of alphanumeric characters and the parentheses characters '(' & ')', write a function which removes the minimum number of characters to return a version of the string with properly balanced parenthesis. Answer: You can do this with a counter. Psuedo-Python Start with counter = 0 output = [] Iterate through the string, every time you encounter a '(', increment the counter. Add the character to the output. If you encounter a ')', decrement the coun"See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +1 more
  • Meta logoAsked at Meta 
    6 answers
    +3

    "def mergeTwoListsRecursive(l1, l2): if not l1 or not l2: return l1 or l2 if l1.val < l2.val: l1.next = mergeTwoListsRecursive(l1.next, l2) return l1 else: l2.next = mergeTwoListsRecursive(l1, l2.next) return l2 "

    Ramachandra N. - "def mergeTwoListsRecursive(l1, l2): if not l1 or not l2: return l1 or l2 if l1.val < l2.val: l1.next = mergeTwoListsRecursive(l1.next, l2) return l1 else: l2.next = mergeTwoListsRecursive(l1, l2.next) return l2 "See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +5 more
  • Meta logoAsked at Meta 
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    Machine Learning Engineer
    System Design
  • Meta logoAsked at Meta 
    10 answers
    +6

    "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
    Data Structures & Algorithms
    +4 more
Showing 41-60 of 89
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