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.

8,225 machine learning engineer interview questions shared by candidates

1. Computer Science questions - sorting, searching, data structure, binary tree. Actual code writing and walkthrough. How to optimize. Big O notations. Efficiency is always a key component here. 2. Machine learning and deep learning questions. Everything from supervised to unsupervised learning. What are the linear classifiers? Explain how CNN works, random forest, recurrent neural network. Clustering. Nearest neighbors. I think we gone through all the topics in machine learning. 3. System design. How to search efficiently. Explain previous experience or projects implemented etc.
avatar

Machine Learning Engineer

Interviewed at Shopee

3.6★
May 25, 2019

1. Computer Science questions - sorting, searching, data structure, binary tree. Actual code writing and walkthrough. How to optimize. Big O notations. Efficiency is always a key component here. 2. Machine learning and deep learning questions. Everything from supervised to unsupervised learning. What are the linear classifiers? Explain how CNN works, random forest, recurrent neural network. Clustering. Nearest neighbors. I think we gone through all the topics in machine learning. 3. System design. How to search efficiently. Explain previous experience or projects implemented etc.

There were some algorithmic questions (basically they describe a case where you need to do a complicated search over large datasets, I solved the problem via KD-trees, which the reviewer seemed to like, but they ended up implementing a giant hash instead).
avatar

Machine Learning PhD Intern

Interviewed at Apple

4.1★
Mar 11, 2014

There were some algorithmic questions (basically they describe a case where you need to do a complicated search over large datasets, I solved the problem via KD-trees, which the reviewer seemed to like, but they ended up implementing a giant hash instead).

Viewing 5221 - 5230 interview questions

Glassdoor has 8,225 interview questions and reports from Machine learning engineer interviews. Prepare for your interview. Get hired. Love your job.