Machine Learning Engineer Salary: Osaka vs San Francisco
Annual median salary comparison (2024). All figures include local currency, USD equivalent, and PPP-adjusted purchasing power.
🇯🇵 Osaka
Japan
¥9.8M JPY
$65K USD
$104K PPP
VS
USD Difference
-73%
Osaka vs San Francisco
🇺🇸 San Francisco
United States
$241K USD
$241K USD
$241K PPP
Higher Purchasing Power
Detailed Comparison
| Metric | Osaka | San Francisco | Difference |
|---|---|---|---|
| Local Currency Salary | ¥9.8M JPY | $241K USD | — |
| USD Equivalent | $65K | $241K | -73% |
| PPP-Adjusted SalaryWINNER | $104K | $241K 🏆 | -57% |
| 25th Percentile | ¥7.8M JPY | $192K USD | — |
| Median | ¥9.8M JPY | $241K USD | — |
| 75th Percentile | ¥12.2M JPY | $301K USD | — |
| Annual Mean | ¥10.5M JPY | $260K USD | — |
What Does This Mean?
Osaka offers a Machine Learning Engineer salary of $65K USD, while San Francisco offers $241K USD — a difference of -73% in raw terms.
After adjusting for purchasing power parity (PPP), Osaka's salary is worth $104K in US purchasing power terms, versus $241K for San Francisco. 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.