Skip to contentSkip to footer

Machine Learning Engineer Interviews

Salaries
Interviews

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.

8,205 machine learning engineer interview questions shared by candidates

First interview: 1. Improve the product google glass by identifying objects in scene and populating information about it on screen. 2. How to efficiently index a book based on words Second Interview: 1. SQL - write a query to extract the first occurrences of sales according to person name (I am not very experienced in SQL and my answer might not have been very good. But he realized that about my background and moved on to programming questions). 2. Write a function to find the 2nd highest number in an array - Easy to solve. 3. Write a function to find the nth highest number - I kept giving solutions and he asked me to improve the time complexity at each step. First step - use quick sort to find nth order statistic Second step - to sort the function by merge sort and return nth order statistic. Third step - if this function is called over and over again, use a hash table to store sorted version of array and return the nth statistic. 4. How to efficiently index a book based on words 5. Probability question: There's one box - has 12 black and 12 red cards, 2nd box has 24 black and 24 red; if you want to draw 2 cards at random from one of the 2 boxes, which box has the higher probability of getting the same color? He added, can you tell intuitively why the 2nd box has a higher probability - My solution was that at a step when you remove a card, say a red one, the second box still has a higher probability of drawing a red card than the first box and he said it is right.
avatar

Machine Learning - Human Capital Management (HCM)

Interviewed at Goldman Sachs

3.7★
Jun 19, 2014

First interview: 1. Improve the product google glass by identifying objects in scene and populating information about it on screen. 2. How to efficiently index a book based on words Second Interview: 1. SQL - write a query to extract the first occurrences of sales according to person name (I am not very experienced in SQL and my answer might not have been very good. But he realized that about my background and moved on to programming questions). 2. Write a function to find the 2nd highest number in an array - Easy to solve. 3. Write a function to find the nth highest number - I kept giving solutions and he asked me to improve the time complexity at each step. First step - use quick sort to find nth order statistic Second step - to sort the function by merge sort and return nth order statistic. Third step - if this function is called over and over again, use a hash table to store sorted version of array and return the nth statistic. 4. How to efficiently index a book based on words 5. Probability question: There's one box - has 12 black and 12 red cards, 2nd box has 24 black and 24 red; if you want to draw 2 cards at random from one of the 2 boxes, which box has the higher probability of getting the same color? He added, can you tell intuitively why the 2nd box has a higher probability - My solution was that at a step when you remove a card, say a red one, the second box still has a higher probability of drawing a red card than the first box and he said it is right.

Viewing 1531 - 1540 interview questions

Glassdoor has 8,205 interview questions and reports from Machine learning engineer interviews. Prepare for your interview. Get hired. Love your job.