Machine Learning Engineer Salary: New York vs Singapore
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
+78%
New York vs Singapore
🇸🇬 Singapore
Singapore
S$156K SGD
$117K USD
$144K PPP
Detailed Comparison
| Metric | New York | Singapore | Difference |
|---|---|---|---|
| Local Currency Salary | $208K USD | S$156K SGD | — |
| USD Equivalent | $208K | $117K | +78% |
| PPP-Adjusted SalaryWINNER | $208K 🏆 | $144K | +44% |
| 25th Percentile | $166K USD | S$125K SGD | — |
| Median | $208K USD | S$156K SGD | — |
| 75th Percentile | $260K USD | S$195K SGD | — |
| Annual Mean | $225K USD | S$168K SGD | — |
What Does This Mean?
New York offers a Machine Learning Engineer salary of $208K USD, while Singapore offers $117K USD — a difference of +78% in raw terms.
After adjusting for purchasing power parity (PPP), New York's salary is worth $208K in US purchasing power terms, versus $144K for Singapore. 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.