Amazon Machine Learning Engineer Interview Questions

Review this list of 30 Amazon machine learning engineer interview questions and answers verified by hiring managers and candidates.
  • Amazon logoAsked at Amazon 
    Video answer for 'Tell me about a time when you made short-term sacrifices for long-term gains.'
    +83

    "Recently, I had to make a decision that I could automate a part of a process now and help the operations team reducing 9 hours of manual work to 60 minutes for one client. The second option was to fully automate the end to end process that would take 4 weeks of development, but fully automate the process and that could be rolled out across the board. The process was to change the member's paperless preference to paper when a sent email gets bounced 3 times in a row and inform her with a paper"

    Anonymous Aardvark - "Recently, I had to make a decision that I could automate a part of a process now and help the operations team reducing 9 hours of manual work to 60 minutes for one client. The second option was to fully automate the end to end process that would take 4 weeks of development, but fully automate the process and that could be rolled out across the board. The process was to change the member's paperless preference to paper when a sent email gets bounced 3 times in a row and inform her with a paper"See full answer

    Machine Learning Engineer
    Behavioral
    +5 more
  • Amazon logoAsked at Amazon 
    +82

    "My approach to dealing with difficult stakeholders has always been: Engage - Directly engage with the stakeholder, meet or chat Listen - Listen to what they have to say, patiently. Understand - Understand their POV, even if it is impossible at some times Ask - Ask clarifying questions. Why? When? What? Engage again - Keep them in the loop until there is closure For example, we were in the final stages of a very important, strategic project for our organization. I was leading th"

    Jane D. - "My approach to dealing with difficult stakeholders has always been: Engage - Directly engage with the stakeholder, meet or chat Listen - Listen to what they have to say, patiently. Understand - Understand their POV, even if it is impossible at some times Ask - Ask clarifying questions. Why? When? What? Engage again - Keep them in the loop until there is closure For example, we were in the final stages of a very important, strategic project for our organization. I was leading th"See full answer

    Machine Learning Engineer
    Behavioral
    +8 more
  • Amazon logoAsked at Amazon 
    Video answer for 'Tell me about a time when you worked on a project with a tight deadline.'
    +42

    "A clarifying question: Is this question asking about when I met a tight deadline in a project or how did I manage a project that had a tight deadline? The answer uploaded to this question is good, I would also add 'creating a critical path from overall project schedule and then making sure that none of the deliverables in the critical path are sacrificed in order to meet the tight deadline' as an action taken."

    Ushita S. - "A clarifying question: Is this question asking about when I met a tight deadline in a project or how did I manage a project that had a tight deadline? The answer uploaded to this question is good, I would also add 'creating a critical path from overall project schedule and then making sure that none of the deliverables in the critical path are sacrificed in order to meet the tight deadline' as an action taken."See full answer

    Machine Learning Engineer
    Behavioral
    +5 more
  • Amazon logoAsked at Amazon 
    Video answer for 'Tell me about a time when you solved a complex problem and how you went about it.'
    +11

    "I work at a startup that makes software for Law Enforcement and the FBI. Our product analyzes calls being made by prison inmates and "listens" for predictors of violence and criminal behavior. Our clients are some of the top state prisons in the country. Recently one of the largest states in the country decided to evaluate our product for their prison system. I demo'd the product to the officers and they seemed to like everything. During the presentation they asked us if the product was ADA com"

    Aabid S. - "I work at a startup that makes software for Law Enforcement and the FBI. Our product analyzes calls being made by prison inmates and "listens" for predictors of violence and criminal behavior. Our clients are some of the top state prisons in the country. Recently one of the largest states in the country decided to evaluate our product for their prison system. I demo'd the product to the officers and they seemed to like everything. During the presentation they asked us if the product was ADA com"See full answer

    Machine Learning Engineer
    Behavioral
    +5 more
  • Amazon logoAsked at Amazon 
    +5

    "As a PM i received a feedback from my program manager on my style of verbal communication. It is about me speaking faster when i wanted to get away with a topic that i wasn't confident (may be not backed up with data, or still in process of getting detailed insight of a problem etc.). Whereas when I'm confident I tend to speak slowly or more assertively that made people to follow easily. I welcomed that feedback so from then on when I'm not confident in a topic I became more assertive to let pe"

    Rajesh V. - "As a PM i received a feedback from my program manager on my style of verbal communication. It is about me speaking faster when i wanted to get away with a topic that i wasn't confident (may be not backed up with data, or still in process of getting detailed insight of a problem etc.). Whereas when I'm confident I tend to speak slowly or more assertively that made people to follow easily. I welcomed that feedback so from then on when I'm not confident in a topic I became more assertive to let pe"See full answer

    Machine Learning Engineer
    Behavioral
    +6 more
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  • Amazon logoAsked at Amazon 
    +2

    "Traverse the array of points while computing the distance and pushing it to the heap. Then traverse again the heap and pop the k closest. Time O(nlogn) Space O(n)"

    Dadja Z. - "Traverse the array of points while computing the distance and pushing it to the heap. Then traverse again the heap and pop the k closest. Time O(nlogn) Space O(n)"See full answer

    Machine Learning Engineer
    Coding
    +2 more
  • Amazon logoAsked at Amazon 
    Machine Learning Engineer
    System Design
    +1 more
  • Amazon logoAsked at Amazon 
    +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
  • Amazon logoAsked at Amazon 

    "in simple words, linear regression helps in predicting the value whereas logistics regression helps in predicting the binary classification. But lets talk through some example Linear regression model: E-commerce website pricing recommendation engine is built on linear regression model where we do have some variables such as competitor price, internal economics and consumer demand etc when we put this in a supervised learning model, it helps in predicting prices Logistics regression model"

    Anonymous Aardvark - "in simple words, linear regression helps in predicting the value whereas logistics regression helps in predicting the binary classification. But lets talk through some example Linear regression model: E-commerce website pricing recommendation engine is built on linear regression model where we do have some variables such as competitor price, internal economics and consumer demand etc when we put this in a supervised learning model, it helps in predicting prices Logistics regression model"See full answer

    Machine Learning Engineer
    Concept
    +1 more
  • Amazon logoAsked at Amazon 
    +4

    "Any cycle would cause the prerequisite to be greater than the course. This passes all the tests: function canFinish(_numCourses, prerequisites) { for (const [a, b] of prerequisites) { if (b > a) return false } return true } `"

    Jeremy D. - "Any cycle would cause the prerequisite to be greater than the course. This passes all the tests: function canFinish(_numCourses, prerequisites) { for (const [a, b] of prerequisites) { if (b > a) return false } return true } `"See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +4 more
  • Amazon logoAsked at Amazon 
    Video answer for 'Move all zeros to the end of an array.'
    +43

    "this solution here is much faster than the exponent reference soln. It is also far more concise and easy to understand def moveZerosToEnd(arr: List[int]) -> List[int]: left = 0 for right in range(len(arr)): if arr[right] == 0: pass else: if left != right: temp = arr[left] arr[left] = arr[right] arr[right] = temp left += 1 return arr `"

    Devesh K. - "this solution here is much faster than the exponent reference soln. It is also far more concise and easy to understand def moveZerosToEnd(arr: List[int]) -> List[int]: left = 0 for right in range(len(arr)): if arr[right] == 0: pass else: if left != right: temp = arr[left] arr[left] = arr[right] arr[right] = temp left += 1 return arr `"See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +4 more
  • Amazon logoAsked at Amazon 
    Video answer for 'Implement k-means clustering.'

    "i dont know"

    Dinesh K. - "i dont know"See full answer

    Machine Learning Engineer
    Coding
    +5 more
  • Amazon logoAsked at Amazon 
    +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
  • Amazon logoAsked at Amazon 
    Video answer for 'Given an nxn grid of 1s and 0s, return the number of islands in the input.'
    +10

    " from typing import List def getnumberof_islands(binaryMatrix: List[List[int]]) -> int: if not binaryMatrix: return 0 rows = len(binaryMatrix) cols = len(binaryMatrix[0]) islands = 0 for r in range(rows): for c in range(cols): if binaryMatrixr == 1: islands += 1 dfs(binaryMatrix, r, c) return islands def dfs(grid, r, c): if ( r = len(grid) "

    Rick E. - " from typing import List def getnumberof_islands(binaryMatrix: List[List[int]]) -> int: if not binaryMatrix: return 0 rows = len(binaryMatrix) cols = len(binaryMatrix[0]) islands = 0 for r in range(rows): for c in range(cols): if binaryMatrixr == 1: islands += 1 dfs(binaryMatrix, r, c) return islands def dfs(grid, r, c): if ( r = len(grid) "See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +4 more
  • Amazon logoAsked at Amazon 
    +37

    "function twoSum(nums, target) { let complements = new Map(); for (let i = 0; i < nums.length; i++) { let diff = target - nums[i]; if (complements.has(diff)) { return [complements.get(diff), i]; } complements.set(nums[i], i); } return []; } console.log(twoSum([2, 7, 11, 15], 9)); `"

    Jean-pierre C. - "function twoSum(nums, target) { let complements = new Map(); for (let i = 0; i < nums.length; i++) { let diff = target - nums[i]; if (complements.has(diff)) { return [complements.get(diff), i]; } complements.set(nums[i], i); } return []; } console.log(twoSum([2, 7, 11, 15], 9)); `"See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +5 more
  • Amazon logoAsked at Amazon 
    +3

    "function addChildren(root, val, inorder) { const rootInOrderIndex = inorder.indexOf(root.value); const childrenInOrderIndex = inorder.indexOf(val); if (childrenInOrderIndex < rootInOrderIndex) { if (!root.left) { root.left = new TreeNode(val); } else { addChildren(root.left, val, inorder); } } else { if (!root.right) { root.right = new TreeNode(val); } else { addChildren(root.right,"

    Tiago R. - "function addChildren(root, val, inorder) { const rootInOrderIndex = inorder.indexOf(root.value); const childrenInOrderIndex = inorder.indexOf(val); if (childrenInOrderIndex < rootInOrderIndex) { if (!root.left) { root.left = new TreeNode(val); } else { addChildren(root.left, val, inorder); } } else { if (!root.right) { root.right = new TreeNode(val); } else { addChildren(root.right,"See full answer

    Machine Learning Engineer
    Data Structures & Algorithms
    +2 more
  • Amazon logoAsked at Amazon 
    Machine Learning Engineer
    Behavioral
    +1 more
  • Amazon logoAsked at Amazon 

    "DevOps Engineer Interview Questions for 3+ yrs experience candidate"

    Vishwanath K. - "DevOps Engineer Interview Questions for 3+ yrs experience candidate"See full answer

    Machine Learning Engineer
    Concept
  • Amazon logoAsked at Amazon 
    Machine Learning Engineer
    Concept
    +1 more
  • Amazon logoAsked at Amazon 
    Machine Learning Engineer
    Behavioral
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