Logo Salary Monitor

Categories:

Technology U.S. Jobs
Flag of United States

Average Machine Learning Engineer Salary in North Carolina

How much does Machine learning engineer make in North Carolina?

$140,224 (USD)

per year

U.S. job rank

#83

out of 1411 monitored jobs in United States.

Country average

114% higher

than the $65,470 average of United States.

The average salary for a Machine learning engineer in North Carolina in 2023 is $140,224 per year. This comes to $11,685 per month. The top earners receive $235,063 per year, while the bottom earners receive $94,710 per year.

Distribution of Machine Learning Engineer Salaries

Bottom 25% Salary

$94,710 (USD)

per year

Starting salary or workers with less experience.

Median Salary

$140,224 (USD)

per year

Salary point, where half of the workers earn more and half earn less.

Top 25% Salary

$235,063 (USD)

per year

Most senior and experienced workers.

Compare Machine Learning Engineer Salaries in Other States

State Average Salary
District of Columbia $249,629
Massachusetts $189,533
New York $184,910
Washington $183,369
California $181,829
Connecticut $174,124
New Jersey $174,124
Maryland $172,583
Colorado $169,501
Alaska $164,878
Virginia $164,878
Illinois $158,715
Minnesota $157,174
Oregon $157,174
Rhode Island $157,174
Delaware $155,633
New Hampshire $155,633
United States Average $154,092
Hawaii $152,551
Arizona $147,928
Vermont $147,928
Pennsylvania $146,387
Georgia $144,846
Texas $144,846
Michigan $143,306
Utah $143,306
Florida $141,765
Maine $141,765
North Carolina $140,224
Ohio $140,224
Wisconsin $140,224
Nevada $138,683
North Dakota $138,683
Nebraska $137,142
Missouri $135,601
New Mexico $135,601
Wyoming $135,601
Indiana $132,519
Iowa $132,519
Kansas $132,519
Tennessee $132,519
Idaho $130,978
Montana $130,978
Kentucky $127,896
South Carolina $127,896
Alabama $126,355
Louisiana $126,355
Oklahoma $126,355
South Dakota $124,815
West Virginia $123,274
Arkansas $120,192
Virgin Islands $118,651
Mississippi $112,487
Guam $98,619
Puerto Rico $80,128

About the data

The data on SalaryMonitor.org is sourced from the following sources: the United States Bureau of Labor Statistics (BLS), Eurostat, the Office for National Statistics (UK), the OECD, the International Labour Organization (ILO), and the World Bank. In some cases where the real-world data is missing, the figures are estimated.

FAQ

Salary vs. wage vs. income, what is the difference?


A salary is a fixed annual amount paid to an employee, divided into regular intervals (e.g., monthly or bi-weekly). It doesn't vary based on hours worked, and salaried employees usually don't receive extra pay for overtime. Salaried positions are common in professional and management roles.


A wage is an hourly rate paid to employees based on the number of hours worked. It can fluctuate depending on hours worked, including overtime. Wage-based jobs are often in industries like retail, manufacturing, or labor.


Income refers to the total money earned from various sources, including salary, wages, investments, and passive income. It represents the overall financial earnings over a period, such as monthly or annually. Income can come from employment, business, or other financial assets.

Average vs median salary, what is the difference?


The average is the sum of all salaries divided by the number of salaries. In general, it tends to be skewed by the extremes (very high or very low salaries) and isn't as indicating of what a normal person earns.


The median is the middle point of a salary distribution, where half of the workers earn more and half earn less.