How would you find feature importance in decision tree.
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
DSA question was given an array of integers, return another with product of elements except the element at index
Binary Tree and Two Pointer.
AI/ML coding: NLP use case that involves walking through how you would calculate word frequency (TFIDF) then what's the best method to measure vector similarity. **Job description does not mention NLP**
BFS and DFS related hard question
ML questions with gradually increasing difficultly.
ML System Design Was with a manager on designing a recommender system. He wouldn’t let me go into the modeling part. Kept interrupting me before I answered his previous question
Write code for a convolution neural network
leetcode question, dynamic programming question
resume details and one of the projects most proud of
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