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Machine Learning Engineer Interview Questions

Review this list of 300 Machine Learning Engineer interview questions and answers verified by hiring managers and candidates.
  • Accenture logoAsked at Accenture 
    16 answers
    +11

    "public static Integer[] findLargest(int[] input, int m) { if(input==null || input.length==0) return null; PriorityQueue minHeap=new PriorityQueue(); for(int i:input) { if(minHeap.size()(int)top){ minHeap.poll(); minHeap.add(i); } } } Integer[] res=minHeap.toArray(new Integer[0]); Arrays.sort(res); return res; }"

    Divya R. - "public static Integer[] findLargest(int[] input, int m) { if(input==null || input.length==0) return null; PriorityQueue minHeap=new PriorityQueue(); for(int i:input) { if(minHeap.size()(int)top){ minHeap.poll(); minHeap.add(i); } } } Integer[] res=minHeap.toArray(new Integer[0]); Arrays.sort(res); return res; }"See full answer

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

    "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 
    1 answer

    "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
  • Accenture logoAsked at Accenture 
    5 answers
    +2

    "My Answer. Please let me know your feedback. I have led many projects throughout my career. So, whenever I lead the project, I first try to clarify the goals and values delivered. For example, I was in charge of Data Analytics projects at my employment at a Startup. The team’s goal was launching the MVP. First, I discussed with the CEO to define the clear goal and scope for each of the projects. Next, I identified all the key stakeholders and received their inputs on the project's different a"

    Balaji G. - "My Answer. Please let me know your feedback. I have led many projects throughout my career. So, whenever I lead the project, I first try to clarify the goals and values delivered. For example, I was in charge of Data Analytics projects at my employment at a Startup. The team’s goal was launching the MVP. First, I discussed with the CEO to define the clear goal and scope for each of the projects. Next, I identified all the key stakeholders and received their inputs on the project's different a"See full answer

    Machine Learning Engineer
    Behavioral
    +3 more
  • Hubspot logoAsked at Hubspot 
    Add answer
    Machine Learning Engineer
    System Design
    +1 more
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  • Apple logoAsked at Apple 
    2 answers

    "First of all, stack and heap memory are abstraction on top of the hardware by the compiler. The hardware is not aware of stack and heap memory. There is only a single piece of memory that a program has access to. The compiler creates the concepts of stack and heap memory to run the programs efficiently. Programs use stack memory to store local variables and a few important register values such as frame pointer and return address for program counter. This makes it easier for the compiler to gene"

    Stanley Y. - "First of all, stack and heap memory are abstraction on top of the hardware by the compiler. The hardware is not aware of stack and heap memory. There is only a single piece of memory that a program has access to. The compiler creates the concepts of stack and heap memory to run the programs efficiently. Programs use stack memory to store local variables and a few important register values such as frame pointer and return address for program counter. This makes it easier for the compiler to gene"See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +2 more
  • Adobe logoAsked at Adobe 
    23 answers
    Video answer for 'Find a triplet in an array with a given sum.'
    +17

    "from typing import List def three_sum(nums: List[int]) -> List[List[int]]: nums.sort() triplets = set() for i in range(len(nums) - 2): firstNum = nums[i] l = i + 1 r = len(nums) - 1 while l 0: r -= 1 elif potentialSum < 0: l += 1 "

    Anonymous Roadrunner - "from typing import List def three_sum(nums: List[int]) -> List[List[int]]: nums.sort() triplets = set() for i in range(len(nums) - 2): firstNum = nums[i] l = i + 1 r = len(nums) - 1 while l 0: r -= 1 elif potentialSum < 0: l += 1 "See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +3 more
  • Amazon logoAsked at Amazon 
    Add answer
    Machine Learning Engineer
    Machine Learning
    +1 more
  • Microsoft logoAsked at Microsoft 
    5 answers
    Video answer for 'How do you select the value of 'k' in the k-means algorithm?'
    +2

    "As an interviewer, I have asked this question to candidates in the past. Here are the major topics I am looking for in an interview The candidate should understand that there are ways of measuring the loss of a particular clustering. For example, we can take the average distance of each point to it's cluster center. The candidate should understand that this loss will always decrease as the number of clusters increases. For that reason, we can't just pick the value of K that minimizes the l"

    Michael F. - "As an interviewer, I have asked this question to candidates in the past. Here are the major topics I am looking for in an interview The candidate should understand that there are ways of measuring the loss of a particular clustering. For example, we can take the average distance of each point to it's cluster center. The candidate should understand that this loss will always decrease as the number of clusters increases. For that reason, we can't just pick the value of K that minimizes the l"See full answer

    Machine Learning Engineer
    Concept
    +1 more
  • Apple logoAsked at Apple 
    17 answers
    +12

    "class ListNode: def init(self, val=0, next=None): self.val = val self.next = next def has_cycle(head: ListNode) -> bool: slow, fast = head, head while fast and fast.next: slow = slow.next fast = fast.next.next if slow == fast: return True return False debug your code below node1 = ListNode(1) node2 = ListNode(2) node3 = ListNode(3) node4 = ListNode(4) creates a linked list with a cycle: 1 -> 2 -> 3 -> 4"

    Anonymous Roadrunner - "class ListNode: def init(self, val=0, next=None): self.val = val self.next = next def has_cycle(head: ListNode) -> bool: slow, fast = head, head while fast and fast.next: slow = slow.next fast = fast.next.next if slow == fast: return True return False debug your code below node1 = ListNode(1) node2 = ListNode(2) node3 = ListNode(3) node4 = ListNode(4) creates a linked list with a cycle: 1 -> 2 -> 3 -> 4"See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +4 more
  • Adobe logoAsked at Adobe 
    12 answers
    +8

    "function findPrimes(n) { if (n < 2) return []; const primes = []; for (let i=2; i <= n; i++) { const half = Math.floor(i/2); let isPrime = true; for (let prime of primes) { if (i % prime === 0) { isPrime = false; break; } } if (isPrime) { primes.push(i); } } return primes; } `"

    Tiago R. - "function findPrimes(n) { if (n < 2) return []; const primes = []; for (let i=2; i <= n; i++) { const half = Math.floor(i/2); let isPrime = true; for (let prime of primes) { if (i % prime === 0) { isPrime = false; break; } } if (isPrime) { primes.push(i); } } return primes; } `"See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +4 more
  • Anthropic logoAsked at Anthropic 
    Add answer
    Machine Learning Engineer
    Coding
    +1 more
  • Meta logoAsked at Meta 
    Add answer
    Machine Learning Engineer
    System Design
  • Machine Learning Engineer
    Machine Learning
  • Airbnb logoAsked at Airbnb 
    Add answer
    Machine Learning Engineer
    Data Structures & Algorithms
    +4 more
  • Perplexity AI logoAsked at Perplexity AI 
    Add answer
    Machine Learning Engineer
    Artificial Intelligence
    +3 more
  • Adobe logoAsked at Adobe 
    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
  • Capital One logoAsked at Capital One 
    Add answer
    Machine Learning Engineer
    System Design
  • OpenAI logoAsked at OpenAI 
    Add answer
    Machine Learning Engineer
    Behavioral
    +5 more
  • Snap logoAsked at Snap 
    Add answer
    Machine Learning Engineer
    Artificial Intelligence
    +3 more
Showing 101-120 of 300
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