Machine learning is one of the most common buzzwords in tech today, and machine learning engineers are now more in demand than ever. Naturally, machine learning engineers draw attractive salaries, earning between $110,000 and $220,000 per year in the US.
AI and machine learning jobs have grown by five times on average since 2013 (statista.com), and this number will only go up. With countless machine learning jobs worldwide in a myriad of domains, pursuing machine learning as your career choice can land you high-paying jobs.
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In this article, we'll go through everything you need to know about machine learning engineer salary. Here's what we'll cover:
The primary tasks of a coding engineer as a machine learning specialist mainly include:
Based on the company you work for, you may have different specific responsibilities. However, the most common responsibilities include:
Following are some of the skills and qualifications a software engineer should have to land a lucrative salary package in the machine learning field:
The average base salary of a Machine Learning engineer in the US is $131,001 (glassdoor.com).
Multiple factors determine a machine learning engineer's salary, including your experience level, company size, and location. For example:
In the following sections, we’ll look at how machine learning engineer salary varies based on experience, company, and location.
Here’s a breakdown of the salary you can expect as a machine learning engineer based on how many years of experience you have:
Here’s a list of the best-paying companies for machine learning engineers:
How do FAANG companies pay in comparison? Let’s find out.
Here’s a list of cities in the US that offer the best machine learning engineer salary:
California is the place to be if you’re looking to earn the best salary as a Machine Learning Engineer. Other cities that pay higher than the industry average include Washington, New York, North Carolina, Virginia, Texas, and Utah. Indiana has the lowest reported salary for machine learning engineers (53% less than the average salary).
Q1. Is machine learning future-proof?
As of 2022, Machine Learning is the future. The scope is forever increasing as Machine Learning and Artificial Intelligence are finding their way into many modern-day applications, redefining the way businesses function over the last couple of decades. Yes, Machine Learning is future-proof.
Q. Have machine learning Jobs reached their saturation point?
The demand for Machine learning jobs is constantly on the rise, with the supply being extremely limited. Machine Learning jobs are quite a way away from reaching their “saturation point.”
Q. Do machine learning jobs pay well?
Absolutely - even if you’re hired as a low-level machine learning engineer in the US, you’ll still earn an average of $120,000. In comparison, the average American salary is $52,000.
Q. Is Machine Learning in Demand in the US?
Yes, absolutely. According to multiple platforms, it is the #1 among the best jobs in the US and cites a mammoth 344% growth rate.
Q. Is Machine Learning Worth Learning in 2022?
While there’s some online buzz about it being too late to begin studying Machine Learning in 2022, data suggests that the field of Machine Learning is nowhere near its saturation point. Yes, it is worth learning Machine Learning in 2022.
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