Design a machine learning algorithm to recommend videos to a user.
Machine Learning Engineer 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.
8,197 machine learning engineer interview questions shared by candidates
How would you compute the binary representation of an integer number?
Variation of the number of islands LC question. You have a House, Well & Tree arranged in a large grid with empty spaces in between to show where you can go. How will you go from house to nearest well without hitting a tree? Assume you can only go up.down/left/right and not diagonally and cannot hit a tree else you backtrack.
Meta's leetcode questions from leetcode
Something about linked list. Medium leetcode difficulty
Explain 2 ML projects (semi-deep dive into them)
Briefly describe transformer, and describe the difference between transformer and RNN
They asked me a lot from my past work
What is difference between generative and discriminative models? What are some methods you would use to prevent over-fitting? Some coding question using heap data structures
Given a tree, how do you make sure it’s a binary search tree
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