Machine Learning Engineer · Salary Comparison · 2026
Machine Learning Engineer Salary: Richmond, VA vs San Francisco, CA
Side-by-side comparison of salary, taxes, cost of living, and take-home pay for Machine Learning Engineers in Richmond, VA and San Francisco, CA, based on BLS OEWS 2026 data.
1Which City Pays More After Tax?
Higher Gross Salary
✓ San Francisco, CA
$112,000 vs $170,000
Better Purchasing Power
✓ Richmond, VA
$110,891 vs $91,398
Best Take-Home (COL-Adj)
✓ Richmond, VA
$96,571 vs $76,598
2
Detailed Comparison
| Metric | Richmond, VA | San Francisco, CA | Diff |
|---|---|---|---|
| Median Annual Salary | $112,000 | $170,000▲ | -$58,000 |
| 25th Percentile | $86,240 | $130,900▲ | -$44,660 |
| 75th Percentile | $143,360 | $217,600▲ | -$74,240 |
| 90th Percentile | $179,200 | $272,000▲ | -$92,800 |
| Cost of Living Index | 101 | 186 | -85 |
| State Income Tax | 5.75%▲ | 9.3% | -3.5500000000000007% |
| COL-Adjusted Median | $110,891▲ | $91,398 | +$19,493 |
| Est. Annual Take-Home | $97,537 | $142,472▲ | -$44,935 |
| COL-Adj. Take-Home | $96,571▲ | $76,598 | +$19,973 |
| Total Employment | 11,200 | 41,600 | -30,400 |
▲ = Higher value wins for this metric. Diff = Richmond, VA minus San Francisco, CA.
3Summary Analysis
On paper, San Francisco, CA pays $58,000 more (median: $112,000 vs $170,000). However, after adjusting for cost of living (index 101 vs 186), Richmond, VA provides better purchasing power ($110,891 vs $91,398 equivalent). Richmond, VA has the lower state tax rate (5.75% vs 9.3%).
Data: U.S. Bureau of Labor Statistics OEWS · 2026 · Cost-of-living indices from composite metro area data. Take-home estimates approximate only — consult a tax professional for accurate figures.