Machine Learning Engineer Salary: Los Angeles, CA vs San Francisco, CA
Side-by-side comparison of salary, taxes, cost of living, and take-home pay for Machine Learning Engineers in Los Angeles, CA and San Francisco, CA, based on BLS OEWS 2026 data.
1Which City Pays More After Tax?
Detailed Comparison
| Metric | Los Angeles, CA | San Francisco, CA | Diff |
|---|---|---|---|
| Median Annual Salary | $146,000 | $170,000▲ | -$24,000 |
| 25th Percentile | $112,420 | $130,900▲ | -$18,480 |
| 75th Percentile | $186,880 | $217,600▲ | -$30,720 |
| 90th Percentile | $233,600 | $272,000▲ | -$38,400 |
| Cost of Living Index | 173 | 186 | -13 |
| State Income Tax | 9.3%▲ | 9.3% | — |
| COL-Adjusted Median | $84,393 | $91,398▲ | -$7,005 |
| Est. Annual Take-Home | $122,358 | $142,472▲ | -$20,114 |
| COL-Adj. Take-Home | $70,727 | $76,598▲ | -$5,871 |
| Total Employment | 38,400 | 41,600 | -3,200 |
3Summary Analysis
On paper, San Francisco, CA pays $24,000 more (median: $146,000 vs $170,000). However, after adjusting for cost of living (index 173 vs 186), San Francisco, CA provides better purchasing power ($84,393 vs $91,398 equivalent). San Francisco, CA has the lower state tax rate (9.3% vs 9.3%).
5How to Weigh This Comparison
The $24,000 nominal pay gap between Los Angeles, CA and San Francisco, CA is the wrong number to focus on in isolation. Cost-of-living indices of 173 and 186 mean the same paycheck stretches very differently in each market. The COL-adjusted figures above — $84,393 in Los Angeles vs $91,398 in San Francisco— are the closest proxy for "how much will your money actually buy." A meaningful gap of $7,005 on that axis usually beats any nominal salary difference.
Housing is the single biggest driver of cost-of-living differences. In San Francisco, CA, expect housing to consume a larger share of gross income than in Los Angeles, CA. If you're planning to rent, the COL index is a reasonable proxy for rent differences. If you're buying, expect purchase price differences to be sharper than the composite index suggests — housing tends to be the most inelastic component of cost of living.
Tax treatment matters but is usually smaller than COL impact. The 0.0% state tax rate difference (9.3% in California vs 9.3% in California) translates to roughly $0 per year at these salary levels. States with no income tax (Texas, Florida, Washington, Nevada, Tennessee) often offset with higher property tax or sales tax, so factor in your housing and consumption patterns.
Career factors that don't show up in these numbers: total employment (with 38,400 positions in Los Angeles vs 41,600 in San Francisco, the larger market offers more lateral moves and promotion paths), industry concentration (tech-heavy cities like San Francisco, Seattle, Austin pay premiums for engineering roles but may underpay other occupations), and 3–5 year career trajectory (year-over-year employment growth of 3.6% in Los Angeles vs 4.3% in San Francisco reveals whether each market is expanding or contracting). For a broader context, see our California overview and the full Machine Learning Engineer city ranking.