SalariesByCity
Machine Learning Engineer · Salary Comparison · 2026

Machine Learning Engineer Salary: Washington, DC vs San Francisco, CA

Side-by-side comparison of salary, taxes, cost of living, and take-home pay for Machine Learning Engineers in Washington, DC and San Francisco, CA, based on BLS OEWS 2026 data.

1Which City Pays More After Tax?

Higher Gross Salary
San Francisco, CA
$147,000 vs $170,000
Better Purchasing Power
Washington, DC
$96,711 vs $91,398
Best Take-Home (COL-Adj)
Washington, DC
$83,552 vs $76,598
2

Detailed Comparison

MetricWashington, DCSan Francisco, CADiff
Median Annual Salary$147,000$170,000-$23,000
25th Percentile$113,190$130,900-$17,710
75th Percentile$188,160$217,600-$29,440
90th Percentile$235,200$272,000-$36,800
Cost of Living Index152186-34
State Income Tax6.5%9.3%-2.8000000000000007%
COL-Adjusted Median$96,711$91,398+$5,313
Est. Annual Take-Home$126,999$142,472-$15,473
COL-Adj. Take-Home$83,552$76,598+$6,954
Total Employment36,00041,600-5,600
▲ = Higher value wins for this metric. Diff = Washington, DC minus San Francisco, CA.

3Summary Analysis

On paper, San Francisco, CA pays $23,000 more (median: $147,000 vs $170,000). However, after adjusting for cost of living (index 152 vs 186), Washington, DC provides better purchasing power ($96,711 vs $91,398 equivalent). Washington, DC has the lower state tax rate (6.5% 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.