A senior machine learning engineer’s main responsibility includes ensuring that every part of their AI systems runs as smoothly as possible. As of June 13, 2025, the average salary for a senior machine learning engineer in the United States is $131,190 per year.
The salary of senior machine learning engineers may vary depending on key factors such as education level, experience, geographic location, skills, and demand.
In the following sections, this guide will provide an overview of senior machine learning engineers’ salaries and a detailed outline of their job responsibilities, job outlook, and career trends for the coming years.
The average salary for a senior machine learning engineer in the United States is $131,190 per year, as of June 13, 2025. The income of senior machine learning engineers usually ranges from $102,533 to $161,356, with the majority earning $116,190 to $146,980 per year.
Percentile | Average Annual Salary |
---|---|
10% Percentile | $102,533 |
25% Percentile | $116,190 |
50% Percentile (Median) | $131,190 |
75% Percentile | $146,980 |
90% Percentile | $161,356 |
The U.S. Bureau of Labor Statistics (BLS) also reports that the income for senior machine learning engineers may vary depending on their industry. For instance, senior machine learning engineers working in software publishing can earn up to $102,070, while those working on computer systems design and other related services can only typically earn $129,890.
The average income for senior machine learning engineers can be broken down into hourly, weekly, monthly, and yearly amounts. According to Salary.com, the average rate for senior machine learning engineers in the United States is $32 per hour or $5,475 per month.
As previously noted, Senior Machine Learning Engineers in the United States will find that their salary may vary due to key factors such as geographic location, years of experience, and education. These factors will be explored in detail below.
Aside from a senior machine learning engineer’s educational background, certifications, and accreditations, their level of experience also plays a vital role in increasing their salary. As shown in the list below, there are notable salary differences across various experience levels of Senior Machine Learning Engineers in the United States.
Based on the Salary.com data, the difference between an entry-level senior machine learning Engineer’s pay and an expert-level senior machine learning engineer is $14,674. This also shows a sizeable gap between the salaries of an intermediate-level Senior Machine Learning Engineer and a senior-level Senior Machine Learning Engineer at $122,048 and $125,339, respectively.
It can also be noted that each US state has a different average income for senior machine learning engineers due to several factors such as cost of living, industry performance, and demand.
Based on the Salary.com data, the District of Columbia offers the highest average annual income for senior machine learning engineers in the United States at $145,250. The next ones are California and Massachusetts with $144,700 and $142,770 per year, respectively.
State | Average Salary |
---|---|
Alabama | $120,520 |
Alaska | $142,010 |
Arizona | $127,830 |
Arkansas | $118,520 |
California | $144,700 |
Colorado | $133,850 |
Connecticut | $140,200 |
Delaware | $132,860 |
District of Columbia | $145,250 |
Florida | $124,130 |
Georgia | $126,530 |
Hawaii | $137,120 |
Idaho | $122,470 |
Illinois | $133,720 |
Indiana | $125,930 |
Iowa | $125,550 |
Kansas | $124,920 |
Kentucky | $123,450 |
Louisiana | $124,740 |
Maine | $127,910 |
Maryland | $135,270 |
Massachusetts | $142,770 |
Michigan | $129,200 |
Minnesota | $134,250 |
Mississippi | $117,000 |
Missouri | $124,640 |
Montana | $123,860 |
Nebraska | $123,590 |
Nevada | $129,840 |
New Hampshire | $132,620 |
New Jersey | $142,200 |
New Mexico | $121,510 |
New York | $139,470 |
North Carolina | $124,670 |
North Dakota | $129,590 |
Ohio | $127,740 |
Oklahoma | $121,300 |
Oregon | $133,220 |
Pennsylvania | $130,600 |
Rhode Island | $136,020 |
South Carolina | $122,930 |
South Dakota | $119,230 |
Tennessee | $122,600 |
Texas | $127,960 |
Utah | $125,630 |
Virginia | $132,100 |
Vermont | $128,700 |
Washington | $142,250 |
Wisconsin | $129,050 |
West Virginia | $118,140 |
Wyoming | $124,810 |
Salary.com data reveals that the top three paying cities for senior machine learning engineers in the United States are San Jose, San Francisco, and Oakland, all in the state of California.
Top Paying Cities | Average Salary |
---|---|
San Jose, CA | $82,401 |
San Francisco, CA | $82,101 |
Oakland, CA | $80,101 |
New York, NY | $76,701 |
Queens Village, NY | $76,201 |
Paramus, NJ | $75,601 |
In addition to their pay, senior machine learning engineers receive a range of benefits and rewards. According to data from Salary.com, the total compensation for a senior machine learning engineer includes benefits such as Social Security and 401(k)/403(b) plans.
Senior Machine Learning Engineers are mainly responsible for helping smooth a company’s machine learning process and ensuring that their entire process runs smoothly. They are also responsible for building models that can help companies with their overall strategic planning process.
The job description for a senior machine learning engineer is as follows:
The job of a senior machine learning engineer requires a bachelor’s degree in computer science or any adjacent programs like engineering or mathematics.
However, you can still boost your credibility through upskilling and learning some valuable skills for a higher senior machine learning engineer salary. Here is a step-by-step guide to follow to ask for a raise as a Senior Machine Learning Engineer:
The average senior machine learning engineer can receive a good baseline salary since they hold a pivotal role in the overall production process. Some companies can even ask senior machine learning engineers for their input regarding their AI programs as well.
This means that being a senior machine learning engineer requires skills on top of stellar communication skills to boot. The U.S. BLS has outlined these specific skills that a Senior Machine Learning Engineer should ideally have:
However, Salary.com’s Real-Time Job Posting Salary Data Solution has also pointed out that senior machine learning engineers with certain skills can earn more money. Senior machine learning engineers with Cloud platform knowledge and Big Data Analytics can earn 9.08% and 6.85% more, respectively.
Other high compensation skills include the following:
Based on reports from the U.S. Bureau of Labor Statistics (BLS), the job title outlook for Software Developers, Quality Assurance Analysts, and Testers including the senior machine learning engineers sees a positive uptrend of 17% for the years 2023 to 2033. This is because AI and machine learning are slowly becoming the norm when it comes to most businesses, and most companies need to adjust their systems to work with most systems.