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Meta Machine Learning Engineer Interview Questions

Review this list of 80 Meta Machine Learning Engineer interview questions and answers verified by hiring managers and candidates.
  • +2

    "class Solution { public boolean isValid(String s) { // Time Complexity and Space complexity will be O(n) Stack stack=new Stack(); for(char c:s.toCharArray()){ if(c=='('){ stack.push(')'); } else if(c=='{'){ stack.push('}'); } else if(c=='['){ stack.push(']'); } else if(stack.pop()!=c){ return false; } } return stack.isEmpty(); } }"

    Kanishvaran P. - "class Solution { public boolean isValid(String s) { // Time Complexity and Space complexity will be O(n) Stack stack=new Stack(); for(char c:s.toCharArray()){ if(c=='('){ stack.push(')'); } else if(c=='{'){ stack.push('}'); } else if(c=='['){ stack.push(']'); } else if(stack.pop()!=c){ return false; } } return stack.isEmpty(); } }"See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +2 more
  • Meta logoAsked at Meta 
    68 answers
    Video answer for 'Move all zeros to the end of an array.'
    +63

    "Initialize left pointer: Set a left pointer left to 0. Iterate through the array: Iterate through the array from left to right. If the current element is not 0, swap it with the element at the left pointer and increment left. Time complexity: O(n). The loop iterates through the entire array once, making it linear time. Space complexity: O(1). The algorithm operates in-place, modifying the input array directly without using additional data structures. "

    Avon T. - "Initialize left pointer: Set a left pointer left to 0. Iterate through the array: Iterate through the array from left to right. If the current element is not 0, swap it with the element at the left pointer and increment left. Time complexity: O(n). The loop iterates through the entire array once, making it linear time. Space complexity: O(1). The algorithm operates in-place, modifying the input array directly without using additional data structures. "See full answer

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

    "performance issues and sudden spikes on input requests by scaling techniques and optimization."

    Srini K. - "performance issues and sudden spikes on input requests by scaling techniques and optimization."See full answer

    Machine Learning Engineer
    Behavioral
    +6 more
  • Meta logoAsked at Meta 
    6 answers
    +3

    " The Situation A few months ago, our trading platform started experiencing significant latency issues during peak trading hours. This latency was affecting our ability to process real-time market data and execute trades efficiently, potentially leading to substantial financial losses and missed opportunities. Identifying the Problem The first step was to identify the root cause of the latency. I organized a team meeting with our data engineers, DevOps, and network specialists to gather"

    Scott S. - " The Situation A few months ago, our trading platform started experiencing significant latency issues during peak trading hours. This latency was affecting our ability to process real-time market data and execute trades efficiently, potentially leading to substantial financial losses and missed opportunities. Identifying the Problem The first step was to identify the root cause of the latency. I organized a team meeting with our data engineers, DevOps, and network specialists to gather"See full answer

    Machine Learning Engineer
    Behavioral
    +3 more
  • Meta logoAsked at Meta 
    1 answer
    Video answer for 'Design a fake news detection system.'

    " Functional Requirements Content Ingestion\: Ingest news articles from various sources (websites, social media, etc.). Handle different types of content (text, images, videos). Content Analysis\: Extract and preprocess text from articles. Analyze the content for potential indicators of fake news. Model Training and Prediction\: Use machine learning models to classify content as fake or real. Continuously improve models with new data and f"

    Scott S. - " Functional Requirements Content Ingestion\: Ingest news articles from various sources (websites, social media, etc.). Handle different types of content (text, images, videos). Content Analysis\: Extract and preprocess text from articles. Analyze the content for potential indicators of fake news. Model Training and Prediction\: Use machine learning models to classify content as fake or real. Continuously improve models with new data and f"See full answer

    Machine Learning Engineer
    Machine Learning
    +3 more
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  • Meta logoAsked at Meta 
    66 answers
    Video answer for 'Product of Array Except Self'
    +60

    "If 0's aren't a concern, couldn't we just multiply all numbers. and then divide product by each number in the list ? if there's more than one zero, then we just return an array of 0s if there's one zero, then we just replace 0 with product and rest 0s. what am i missing?"

    Sachin R. - "If 0's aren't a concern, couldn't we just multiply all numbers. and then divide product by each number in the list ? if there's more than one zero, then we just return an array of 0s if there's one zero, then we just replace 0 with product and rest 0s. what am i missing?"See full answer

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

    "General Approach (using Max-Heap) Use a max-heap (priority queue) of size k. For each point: Compute the distance to P. Push it into the heap. If heap size > k, remove the farthest point. The heap will contain the k closest points to P. import java.util.*; public class KClosestPoints { static class Point { int x, y; public Point(int x, int y) { this.x = x; this.y = y; } // Euclidean distance squared (no need to take square root) p"

    Khushbu R. - "General Approach (using Max-Heap) Use a max-heap (priority queue) of size k. For each point: Compute the distance to P. Push it into the heap. If heap size > k, remove the farthest point. The heap will contain the k closest points to P. import java.util.*; public class KClosestPoints { static class Point { int x, y; public Point(int x, int y) { this.x = x; this.y = y; } // Euclidean distance squared (no need to take square root) p"See full answer

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

    "Implemented a recursive function which returns the length of the list so far. when the returned value equals k + 1 , assign current.next = current.next.next. If I made it back to the head return root.next as the new head of the linked list."

    דניאל ר. - "Implemented a recursive function which returns the length of the list so far. when the returned value equals k + 1 , assign current.next = current.next.next. If I made it back to the head return root.next as the new head of the linked list."See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +2 more
  • Meta logoAsked at Meta 
    2 answers
    Video answer for 'Implement k-means clustering.'

    "at first I want to know number of cluster I will put random number if I don't know and I will use method called Elbow method or Silhouette Score ,Gap Statistic and Davies–Bouldin Index to know the best number of cluster and I will use scikit-learn library to import kmeans from sklearn.cluster import KMeans kmeans = KMeans(nclusters=2, randomstate=0) kmeans.fit(X) and X this my data "

    Taheia S. - "at first I want to know number of cluster I will put random number if I don't know and I will use method called Elbow method or Silhouette Score ,Gap Statistic and Davies–Bouldin Index to know the best number of cluster and I will use scikit-learn library to import kmeans from sklearn.cluster import KMeans kmeans = KMeans(nclusters=2, randomstate=0) kmeans.fit(X) and X this my data "See full answer

    Machine Learning Engineer
    Analytical
    +5 more
  • Meta logoAsked at Meta 
    8 answers
    +5

    "A few months ago I joined a micro-services platform engineering team as their manager, at that time my team was struggling to deliver towards an upcoming production deadline for a customer facing product. Production date had been moved 5 times already and there were about 40% of product features which were remaining to be tested and signed off to move to production . I was made responsible to deliver the release of this product within the deadline and turnaround the software delivery throughput."

    Shuchi A. - "A few months ago I joined a micro-services platform engineering team as their manager, at that time my team was struggling to deliver towards an upcoming production deadline for a customer facing product. Production date had been moved 5 times already and there were about 40% of product features which were remaining to be tested and signed off to move to production . I was made responsible to deliver the release of this product within the deadline and turnaround the software delivery throughput."See full answer

    Machine Learning Engineer
    Behavioral
    +2 more
  • Meta logoAsked at Meta 
    4 answers
    Video answer for 'Explain Bayes' theorem.'
    +1

    "Is it bad to get the answer a different way? Will they mark that as not knowing Bayes Theorem or just correct as it is an easier way to get the answer? The way I went is to look at what happens when the factory makes 100 light bulbs. Machine A makes 60 of which 3 are faulty, Machine B makes 40 of which 1.2 are faulty. Therefore the pool of faulty lightbulbs is 3/4.2 = 5/7 from machine A and 1.2/4.2 = 3/7 from Machine B."

    Will I. - "Is it bad to get the answer a different way? Will they mark that as not knowing Bayes Theorem or just correct as it is an easier way to get the answer? The way I went is to look at what happens when the factory makes 100 light bulbs. Machine A makes 60 of which 3 are faulty, Machine B makes 40 of which 1.2 are faulty. Therefore the pool of faulty lightbulbs is 3/4.2 = 5/7 from machine A and 1.2/4.2 = 3/7 from Machine B."See full answer

    Machine Learning Engineer
    Concept
    +2 more
  • Meta logoAsked at Meta 
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    Machine Learning Engineer
    System Design
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    Machine Learning Engineer
    Behavioral
    +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 
    53 answers
    +49

    "Arrays.sort(inputarray) sliding window with a size of 2. Check for the sum in the sliding window. subtract the start when window moves"

    Sridhar R. - "Arrays.sort(inputarray) sliding window with a size of 2. Check for the sum in the sliding window. subtract the start when window moves"See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +5 more
  • Meta logoAsked at Meta 
    10 answers
    Video answer for 'What is your leadership style?'
    +7

    "My leadership style is flexible and adaptive, it varies depending on the team members and the needs of the company. My leadership goal is to empower the team and inspire and grow leaders. In order to achieve that, I combine transformational, democratic and coaching leadership styles. Usually when we are facing a new type of challenge, or at the early stage of a project, I like to adapt the transformational leadership which allows me to listen to all the suggestions from the team members and sta"

    onering2ruleall - "My leadership style is flexible and adaptive, it varies depending on the team members and the needs of the company. My leadership goal is to empower the team and inspire and grow leaders. In order to achieve that, I combine transformational, democratic and coaching leadership styles. Usually when we are facing a new type of challenge, or at the early stage of a project, I like to adapt the transformational leadership which allows me to listen to all the suggestions from the team members and sta"See full answer

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