Machine Learning Engineer Salary: Boston vs Mexico City
Annual median salary comparison (2024). All figures include local currency, USD equivalent, and PPP-adjusted purchasing power.
🇺🇸 Boston
United States
$202K USD
$202K USD
$202K PPP
Higher Purchasing Power
VS
USD Difference
+417%
Boston vs Mexico City
🇲🇽 Mexico City
Mexico
MX$780K MXN
$39K USD
$91K PPP
Detailed Comparison
| Metric | Boston | Mexico City | Difference |
|---|---|---|---|
| Local Currency Salary | $202K USD | MX$780K MXN | — |
| USD Equivalent | $202K | $39K | +417% |
| PPP-Adjusted SalaryWINNER | $202K 🏆 | $91K | +122% |
| 25th Percentile | $161K USD | MX$624K MXN | — |
| Median | $202K USD | MX$780K MXN | — |
| 75th Percentile | $252K USD | MX$975K MXN | — |
| Annual Mean | $218K USD | MX$842K MXN | — |
What Does This Mean?
Boston offers a Machine Learning Engineer salary of $202K USD, while Mexico City offers $39K USD — a difference of +417% in raw terms.
After adjusting for purchasing power parity (PPP), Boston's salary is worth $202K in US purchasing power terms, versus $91K for Mexico City. This means Boston 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.