Machine Learning Engineer Salary: New York vs Seoul
Annual median salary comparison (2024). All figures include local currency, USD equivalent, and PPP-adjusted purchasing power.
🇺🇸 New York
United States
$208K USD
$208K USD
$208K PPP
Higher Purchasing Power
VS
USD Difference
+228%
New York vs Seoul
🇰🇷 Seoul
South Korea
₩84.5M KRW
$63K USD
$102K PPP
Detailed Comparison
| Metric | New York | Seoul | Difference |
|---|---|---|---|
| Local Currency Salary | $208K USD | ₩84.5M KRW | — |
| USD Equivalent | $208K | $63K | +228% |
| PPP-Adjusted SalaryWINNER | $208K 🏆 | $102K | +103% |
| 25th Percentile | $166K USD | ₩67.6M KRW | — |
| Median | $208K USD | ₩84.5M KRW | — |
| 75th Percentile | $260K USD | ₩105.6M KRW | — |
| Annual Mean | $225K USD | ₩91.3M KRW | — |
What Does This Mean?
New York offers a Machine Learning Engineer salary of $208K USD, while Seoul offers $63K USD — a difference of +228% in raw terms.
After adjusting for purchasing power parity (PPP), New York's salary is worth $208K in US purchasing power terms, versus $102K for Seoul. This means New York 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.