How to Become a Machine Learning Engineer – A Complete Career Guide
In This Guide:
5 steps to become a machine learning engineer
What is a machine learning engineer?
What does a machine learning engineer do?
Machine learning engineer job description
Machine learning engineer salary
Machine learning engineer job outlook
We all know the basic premise of artificial intelligence. AI is how machines are able to learn from their environment and increase intelligence over time. And we are all also aware of the scary potential that AI could have in the wrong hands, or at least the Hollywood version of what could happen. But most people not aware that artificial intelligence has been around, at least in simplified form, since the 1950’s. But AI is a broad field encompassing many different applications, and it is now being employed on a large scale in a variety of organizations. As defined today, machine learning is one subset of AI that works with big data applications, and is accomplished through advanced mathematics and software programming.
The most prominent use of machine learning, or ML, by far is in business. Customer-facing businesses of all types are employing machine learning to better understand customer tendencies and preferences and apply marketing and advertising strategies that accurately and effectively target these tendencies. The goal of machine learning is to program computers to accept real world data from real people utilizing technology and determine from that data the person’s likes and tendencies. These results are then employed to place the most relevant advertisements in front of the customers.
Facebook is probably the most publicly obvious example of a machine learning user. Account holders in Facebook have become all too aware of the ads being targeted directly at them for everything they do. And not just on Facebook. Buy something, or even search for it on Amazon and you’ll soon see an ad for that item on your Facebook account.
ML engineering is not an entry-level career option. It takes years of experience in data science and software engineering, as well as an advanced college degree, to become a machine learning engineer. This guide provides an overview of the machine learning engineer role and lists the steps required to begin and maximize career success. Included is a detailed list of job responsibilities, background, education, and experience required to be successful professionals, as well as salary information, and the future outlook for the ML engineering job market.
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|School Name||Level||Program||More Info|
|Georgetown University||Master||Master of Science in Business Analytics||Website|
|Concordia University, St. Paul||Master||Master of Science in Data Analytics||Website|
|Johns Hopkins||Master||Online MS in Data Analytics and Policy||Website|
|George Mason University||Master||Online MS in Data Analytics Engineering||Website|
|Utica College||Master||Online MS in Data Science||Website|
|Capella University||Bachelor||B.S. in Data Analytics||Website|
|Southern New Hampshire University||Bachelor||B.S. in Data Analytics||Website|
|Scranton University||Master||Online MS in Business Analytics||Website|
|Drake University||Master||Online Master of Data Analytics||Website|
|Northern Illinois University||Master||Online Master of Science in Data Analytics||Website|