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Machine Learning Engineer Interviews

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Machine Learning Engineer Interview Questions

Companies rely on machine learning engineers to help design and improve the systems that allow their software to improve on its own, rather than being specifically programmed. During the interview process, be prepared to be tested heavily on both computer science and data science knowledge with an emphasis on recognizing patterns and trends. A bachelor's degree in computer science or a related field will be required.

Top Machine Learning Engineer Interview Questions & How to Answer

Question 1

Question #1: What are the most important algorithms, programming terms, and theories to understand as a machine learning engineer?

How to answer
How to answer: Be prepared to talk about things like Type I and Type II errors, supervised and unsupervised machine learning, ROC curves, and other key parts of machine learning. Employers want to know you have a strong knowledge of the technical aspects of the job position.
Question 2

Question #2: How would you explain machine learning to someone who doesn't understand it?

How to answer
How to answer: Sometimes machine learning engineers have to work with people who aren't familiar with the technical aspects of the job. Use this interview question as an opportunity to show your strong knowledge of the position and your communication abilities.
Question 3

Question #3: How do you stay up to date with the latest news and trends in machine learning?

How to answer
How to answer: By talking about how you're up to date with the latest news and trends in machine learning, you can show an employer that you're engaged in the industry, a skilled researcher, and self-motivated.

8,249 machine learning engineer interview questions shared by candidates

Systems Design: Design Facebook Messenger --> be prepared to support every single decision you make and explain terms thoroughly. The interviewer will question your decisions and will try to break you so be firm on why you selected that design ML Systems Design: although the requiter told me that they will ask me to design a recommendation system or design the News Feed for Facebook etc the reality was completely different leaving puzzled throughout the interview. Nevertheless, the interviewer asked me about my past projects and then he/she selects one that was interesting. Interviewer and interviewee spend almost 40' breaking down the task into smaller parts, understand the difficulty of the project, discuss what could have been done better / other solutions / other data preparation techniques/approaches etc Be prepared to write the mathematical formulae of everything you are talking about. Coding assessment: Leetcode is your friend. I was asked in total 7 coding questions; 6 came from Leetcode/Facebook section. However, do not expect to have the most frequently ones asked. You need to explain your solution as you go. You will also be asked if there are any edge cases you have forgotten and other ways to solve this (faster / less space complexity). They rarely ask for space complexity but time complexity is a must for them. Behavioral Interview: be prepared to answer questions about your difficult times. For example, tell me about a time you had a conflict, tell me about a stressful time and how did you cope with that / what did you learn, tell me about a constructive feedback, describe a project that start as X and changed in the way into Y -- why did that happen and what was the role you played. Be sincere, just that.
avatar

Senior Software Engineer/Machine Learning Engineer

Interviewed at Meta

3.4★
Aug 12, 2021

Systems Design: Design Facebook Messenger --> be prepared to support every single decision you make and explain terms thoroughly. The interviewer will question your decisions and will try to break you so be firm on why you selected that design ML Systems Design: although the requiter told me that they will ask me to design a recommendation system or design the News Feed for Facebook etc the reality was completely different leaving puzzled throughout the interview. Nevertheless, the interviewer asked me about my past projects and then he/she selects one that was interesting. Interviewer and interviewee spend almost 40' breaking down the task into smaller parts, understand the difficulty of the project, discuss what could have been done better / other solutions / other data preparation techniques/approaches etc Be prepared to write the mathematical formulae of everything you are talking about. Coding assessment: Leetcode is your friend. I was asked in total 7 coding questions; 6 came from Leetcode/Facebook section. However, do not expect to have the most frequently ones asked. You need to explain your solution as you go. You will also be asked if there are any edge cases you have forgotten and other ways to solve this (faster / less space complexity). They rarely ask for space complexity but time complexity is a must for them. Behavioral Interview: be prepared to answer questions about your difficult times. For example, tell me about a time you had a conflict, tell me about a stressful time and how did you cope with that / what did you learn, tell me about a constructive feedback, describe a project that start as X and changed in the way into Y -- why did that happen and what was the role you played. Be sincere, just that.

Q: Give me an example of a project where you used data and machine learning. Q: Given a binary tree, write a function to find if this tree is a search binary tree or not. Q: Given an array, write a function that returns a samples from the array.
avatar

Machine Learning Engineer

Interviewed at Meta

3.4★
Sep 25, 2018

Q: Give me an example of a project where you used data and machine learning. Q: Given a binary tree, write a function to find if this tree is a search binary tree or not. Q: Given an array, write a function that returns a samples from the array.

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Glassdoor has 8,249 interview questions and reports from Machine learning engineer interviews. Prepare for your interview. Get hired. Love your job.