Machine Learning Engineer Salary: San Francisco vs Washington DC
Annual median salary comparison (2024). All figures include local currency, USD equivalent, and PPP-adjusted purchasing power.
🇺🇸 San Francisco
United States
$241K USD
$241K USD
$241K PPP
Higher Purchasing Power
VS
USD Difference
+19%
San Francisco vs Washington DC
🇺🇸 Washington DC
United States
$202K USD
$202K USD
$202K PPP
Detailed Comparison
| Metric | San Francisco | Washington DC | Difference |
|---|---|---|---|
| Local Currency Salary | $241K USD | $202K USD | — |
| USD Equivalent | $241K | $202K | +19% |
| PPP-Adjusted SalaryWINNER | $241K 🏆 | $202K | +19% |
| 25th Percentile | $192K USD | $161K USD | — |
| Median | $241K USD | $202K USD | — |
| 75th Percentile | $301K USD | $252K USD | — |
| Annual Mean | $260K USD | $218K USD | — |
What Does This Mean?
San Francisco offers a Machine Learning Engineer salary of $241K USD, while Washington DC offers $202K USD — a difference of +19% in raw terms.
After adjusting for purchasing power parity (PPP), San Francisco's salary is worth $241K in US purchasing power terms, versus $202K for Washington DC. This means San Francisco offers better real purchasing power for this role.
PPP adjustment accounts for differences in local prices — for example, housing costs 3x more in San Francisco than in Warsaw, so a San Francisco salary needs to be much higher to provide an equivalent standard of living.