Machine Learning Engineer Salary: San Francisco vs Singapore
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
+106%
San Francisco vs Singapore
🇸🇬 Singapore
Singapore
S$156K SGD
$117K USD
$144K PPP
Detailed Comparison
| Metric | San Francisco | Singapore | Difference |
|---|---|---|---|
| Local Currency Salary | $241K USD | S$156K SGD | — |
| USD Equivalent | $241K | $117K | +106% |
| PPP-Adjusted SalaryWINNER | $241K 🏆 | $144K | +67% |
| 25th Percentile | $192K USD | S$125K SGD | — |
| Median | $241K USD | S$156K SGD | — |
| 75th Percentile | $301K USD | S$195K SGD | — |
| Annual Mean | $260K USD | S$168K SGD | — |
What Does This Mean?
San Francisco offers a Machine Learning Engineer salary of $241K USD, while Singapore offers $117K USD — a difference of +106% in raw terms.
After adjusting for purchasing power parity (PPP), San Francisco's salary is worth $241K in US purchasing power terms, versus $144K for Singapore. 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.