Machine Learning Engineer Salary in Richmond, VA
Machine Learning Engineers in Richmond, VA earn a median of $112,000/year, ranging from $86,240 (25th percentile) to $179,200 (90th percentile). After Virginia state taxes (5.75%) and cost-of-living adjustments (COL index 101), this is equivalent to $110,891 in purchasing power vs the US average.
On the ground in Richmond, VA
Machine learning roles here draw talent to a handful of growing tech hubs; Capital One and Dominion Energy both maintain significant engineering footprints in Richmond, and smaller fintech and healthcare startups are steadily expanding their data science teams. A two-bedroom apartment in the Fan district runs around $1,400 to $1,500 monthly, leaving room to breathe on a median salary in this range. The city's relatively compact layout means most commutes stick to local roads rather than punishing highways, though Route 64 corridor traffic toward the tech parks can get thick during rush hours. Virginia's 5.75% state income tax will clip your paycheck noticeably compared to no-tax states, but the cost of living stays just about even with the national average, which helps offset that bite.
1Salary Distribution in Richmond, VA
2Estimated Take-Home & Purchasing Power
* Estimates only. Does not include federal income tax, 401k, health insurance, or local taxes. Use the Salary Calculator for a detailed breakdown.
How Does Richmond, VA Compare?
| City | Median | COL Index | COL-Adjusted |
|---|---|---|---|
| Richmond, VA (current) | $112,000 | 101 | $110,891 |
| San Francisco, CA | $170,000 | 186 | $91,398 |
| New York, NY | $163,000 | 187 | $87,166 |
| Seattle, WA | $165,000 | 162 | $101,852 |
| Boston, MA | $150,000 | 162 | $92,593 |
| Austin, TX | $136,000 | 124 | $109,677 |
4Frequently Asked Questions
What is the average Machine Learning Engineer salary in Richmond, VA?
The median Machine Learning Engineer salary in Richmond, VA is $112,000 per year as of 2026 BLS OEWS data. The 25th percentile is $86,240 and the 90th percentile is $179,200.
Is Richmond, VA a good place to work as a Machine Learning Engineer?
Richmond, VA has a cost of living index of 101 (US average = 100). After adjusting for cost of living, a $112,000 Machine Learning Engineer salary in Richmond, VA is equivalent to $110,891 in purchasing power compared to the US average.
What is the cost of living adjustment for Richmond, VA?
Richmond, VA has a cost of living index of 101, meaning it is 1% more expensive than the US average. The state income tax rate in Virginia is approximately 5.75%.
What is the Machine Learning Engineer salary range in Richmond, VA?
In Richmond, VA, Machine Learning Engineers earn between $86,240 (25th percentile) and $179,200 (90th percentile), with a median of $112,000 per year.
How many Machine Learning Engineer jobs are there in Richmond, VA?
According to BLS OEWS data, there are approximately 11,200 Machine Learning Engineer positions in the Richmond, VA metropolitan area.
What do Machine Learning Engineers earn in Richmond, VA?
Based on BLS OEWS 2026 data, Machine Learning Engineers in Richmond, VA earn a median annual wage of $112,000. The middle 50% earn between $86,240 and $143,360. The top 10% earn more than $179,200. There are approximately 11,200 Machine Learning Engineers employed in the Richmond, VA metro area, with annual job growth estimated at 4.3%.
Is Richmond, VA a good place for a Machine Learning Engineer?
Richmond, VA has a cost of living index of 101 (US average = 100), making it 1% more expensive than the national average. After adjusting for cost of living, a Machine Learning Engineer in Richmond, VA earning $112,000has the equivalent purchasing power of $110,891 relative to the US median. Virginia has a state income tax rate of approximately 5.75%.
What is the cost of living adjustment for Richmond, VA?
Richmond, VA's cost of living index is 101, based on composite data including housing, food, transportation, healthcare, and utilities. This means that $112,000 in Richmond, VAhas the same purchasing power as $110,891 in a city at exactly the US average cost of living. Housing is typically the largest driver of cost of living differences between metros.
Compare Richmond, VA with Another City
See a detailed side-by-side comparison of salary, taxes, and purchasing power.
5Should You Work as a Machine Learning Engineer in Richmond, VA?
The headline median of $112,000 is only part of the picture. Richmond, VA's cost of living index is 101 (US average = 100), meaning a dollar here buys roughly 99¢ of what it buys in an average US city. The $112,000 salary effectively purchases $110,891 worth of goods and services at national-average prices.
Housing is the single biggest driver of cost-of-living differences between metros. In Richmond, VA, housing costs fall closer to the national average of 25–30% of gross income, leaving more room in the budget for savings, transportation, and discretionary spending. For a $112,000 salary, that translates to roughly $31,360/year on housing alone.
State tax plays a meaningful but smaller role. Virginia levies a state income tax of approximately 5.75%, which reduces take-home by roughly $6,440 per year on this salary. States with zero income tax (Texas, Florida, Washington, Tennessee, Nevada) offer a structural advantage, but often offset it with higher sales tax or property tax. After state tax and approximate federal FICA (~7.6%), the estimated take-home is $97,537. This excludes federal income tax, which varies by filing status and deductions.
For comparison, here are nearby alternatives: San Francisco, CA ($170,000 median, COL 186); New York, NY ($163,000 median, COL 187); Seattle, WA ($165,000 median, COL 162). If you're optimizing for purchasing power, compare the COL-adjusted column in the table above and pick the highest number. If you're optimizing for career progression, weight total employment and yearly growth in the role — larger markets offer more lateral moves and promotion velocity, even when nominal pay is lower.
The 4.3% year-over-year growth rate for Machine Learning Engineers in Richmond, VA is a leading indicator of market health. Healthy growth at a steady pace — enough to support mobility but not so fast that compensation is racing ahead of credentials. For side-by-side comparisons, try the full city ranking for Machine Learning Engineers or the Virginia state overview.
Data source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics (OEWS) Program. All figures are approximate annual estimates based on the most recent available BLS data. Actual salaries may vary based on experience, education, employer size, and specific role. Cost-of-living data represents composite indices from publicly available metropolitan area data.