Machine Learning Engineer Salary: San Diego vs Seattle
Annual median salary comparison (2024). All figures include local currency, USD equivalent, and PPP-adjusted purchasing power.
🇺🇸 San Diego
United States
$192K USD
$192K USD
$192K PPP
VS
USD Difference
-15%
San Diego vs Seattle
🇺🇸 Seattle
United States
$228K USD
$228K USD
$228K PPP
Higher Purchasing Power
Detailed Comparison
| Metric | San Diego | Seattle | Difference |
|---|---|---|---|
| Local Currency Salary | $192K USD | $228K USD | — |
| USD Equivalent | $192K | $228K | -15% |
| PPP-Adjusted SalaryWINNER | $192K | $228K 🏆 | -15% |
| 25th Percentile | $154K USD | $182K USD | — |
| Median | $192K USD | $228K USD | — |
| 75th Percentile | $241K USD | $284K USD | — |
| Annual Mean | $208K USD | $246K USD | — |
What Does This Mean?
San Diego offers a Machine Learning Engineer salary of $192K USD, while Seattle offers $228K USD — a difference of -15% in raw terms.
After adjusting for purchasing power parity (PPP), San Diego's salary is worth $192K in US purchasing power terms, versus $228K for Seattle. This means Seattle 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.