Machine Learning Engineer Salary: Seattle vs Sydney
Annual median salary comparison (2024). All figures include local currency, USD equivalent, and PPP-adjusted purchasing power.
🇺🇸 Seattle
United States
$228K USD
$228K USD
$228K PPP
Higher Purchasing Power
VS
USD Difference
+107%
Seattle vs Sydney
🇦🇺 Sydney
Australia
A$169K AUD
$110K USD
$150K PPP
Detailed Comparison
| Metric | Seattle | Sydney | Difference |
|---|---|---|---|
| Local Currency Salary | $228K USD | A$169K AUD | — |
| USD Equivalent | $228K | $110K | +107% |
| PPP-Adjusted SalaryWINNER | $228K 🏆 | $150K | +51% |
| 25th Percentile | $182K USD | A$135K AUD | — |
| Median | $228K USD | A$169K AUD | — |
| 75th Percentile | $284K USD | A$211K AUD | — |
| Annual Mean | $246K USD | A$183K AUD | — |
What Does This Mean?
Seattle offers a Machine Learning Engineer salary of $228K USD, while Sydney offers $110K USD — a difference of +107% in raw terms.
After adjusting for purchasing power parity (PPP), Seattle's salary is worth $228K in US purchasing power terms, versus $150K for Sydney. 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.