Machine learning engineers play an important role in the technology industry by designing, creating, testing, and supervising artificial intelligence-driven systems. They are employed in a wide range of businesses, including marketing, software and services, political consulting, data analysis, decision advisory services, transportation, and so on. In reality, machine learning holds potential applications in virtually every industry.
The need for machine learning engineers
According to a survey by LinkedIn, after examining its own data on hiring patterns around the world, the social networking platform has compiled a list of 25 roles that are in great demand and found that engineers with expertise in machine learning (ML) are the fourth most sought-after professionals in the United States.
In fact, due to the increasing demand, experts with less experience are also succeeding in finding employment.
How much does a Machine Learning Engineer make in the United States?
Many factors influence a machine learning engineer’s typical income, including experience, industry, and geographic location. However, according to Indeed, the average machine learning engineer earns roughly $111,505 per year, based on nearly a thousand anonymously submitted earnings. This is about double the average gross yearly wage per full-time employee in the United States, which is expected to be roughly $69,392 in 2020.
Some companies can even reach a salary of more than $300,000 per year. In fact, the most top five paying companies for Machine Learning Engineers in United States are:
Where do Machine Learning Engineers earn more in the US?
In the US, the top paying states for machine learning jobs are New York, California, Washington and North Carolina.
Here are the four cities for salaries of machine learning engineers across the country – courtesy of Glassdoor:
|City||Average base salary|
|San Francisco, CA||$132,599|
|New York City, NY||$128,085|
|Los Angeles, CA||$127,764|
Machine learning engineers have a promising job outlook. According to the Bureau of Labor Statistics, computer and information research scientists, which includes machine learning engineers, are expected to expand by 22% between 2020 and 2030.