System design coding questions were emphasized on greatly. Found this odd for an ML role
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.
8,221 machine learning engineer interview questions shared by candidates
Don't wanna give away anything specific due to confidentiality but the take home and phone screen were what's been mentioned by others. The three parts of the onsite were very fair and they are by no means trying to burn through applicants like other posts have mentioned. If you know what you've put on your resume and your own research well and can code basic ML pipelines you'll be fine.
Complete one of the projects sent via email.
What is the difference between boosting and bagging?
Complete assignment within 14 days. Or you can can ask for more time.
They asked me to complete an ML take home project
Not selected for the interview.
In the context of machine learning, if you are given the task of mapping a collection of 3D points into a 2D space, what methods would you consider using for this transformation? Please explain your choice of methods and the reasoning behind them.
I Signed NDA so cannot share
Design a database schema to support the company's task processing state machine.
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