ML model design was about how to extract text from images. Specifically semi-structured text like street signs or licenseplates from random photos.
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.
8,208 machine learning engineer interview questions shared by candidates
a question about integer to string
Was asked to tensor operations
NDA
How you test your ML models for production scale?
I was given 4 questions. The first 2 were easy peasy. The third one was an implementation-heavt problem involving traveling matrix elements in a certain way. The fourth question was not good and seemed very unfair, solved it but couldn't completely pass it as one of the test cases threw a time complexity error, which I did not have time to go back a rethink my strategy.
Implement fibonnacci series using recursion.
Implement Linked list from scratch and write code to identify whether the given two linked lists intersect or not.
I got asked about hypotheses testing which the interviewer didn't like my answer and rejected me.
Q: Describe a project you worked on
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