Machine Learning Engineer Salary: San Francisco vs Sydney
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
+119%
San Francisco vs Sydney
🇦🇺 Sydney
Australia
A$169K AUD
$110K USD
$150K PPP
Detailed Comparison
| Metric | San Francisco | Sydney | Difference |
|---|---|---|---|
| Local Currency Salary | $241K USD | A$169K AUD | — |
| USD Equivalent | $241K | $110K | +119% |
| PPP-Adjusted SalaryWINNER | $241K 🏆 | $150K | +60% |
| 25th Percentile | $192K USD | A$135K AUD | — |
| Median | $241K USD | A$169K AUD | — |
| 75th Percentile | $301K USD | A$211K AUD | — |
| Annual Mean | $260K USD | A$183K AUD | — |
What Does This Mean?
San Francisco offers a Machine Learning Engineer salary of $241K USD, while Sydney offers $110K USD — a difference of +119% in raw terms.
After adjusting for purchasing power parity (PPP), San Francisco's salary is worth $241K in US purchasing power terms, versus $150K for Sydney. 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.