Machine Learning Engineer Salary: Chicago vs Seattle
Annual median salary comparison (2024). All figures include local currency, USD equivalent, and PPP-adjusted purchasing power.
🇺🇸 Chicago
United States
$182K USD
$182K USD
$182K PPP
VS
USD Difference
-20%
Chicago vs Seattle
🇺🇸 Seattle
United States
$228K USD
$228K USD
$228K PPP
Higher Purchasing Power
Detailed Comparison
| Metric | Chicago | Seattle | Difference |
|---|---|---|---|
| Local Currency Salary | $182K USD | $228K USD | — |
| USD Equivalent | $182K | $228K | -20% |
| PPP-Adjusted SalaryWINNER | $182K | $228K 🏆 | -20% |
| 25th Percentile | $146K USD | $182K USD | — |
| Median | $182K USD | $228K USD | — |
| 75th Percentile | $228K USD | $284K USD | — |
| Annual Mean | $197K USD | $246K USD | — |
What Does This Mean?
Chicago offers a Machine Learning Engineer salary of $182K USD, while Seattle offers $228K USD — a difference of -20% in raw terms.
After adjusting for purchasing power parity (PPP), Chicago's salary is worth $182K 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.