Machine Learning Engineer Salary: Boston vs Guadalajara
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
+520%
Boston vs Guadalajara
🇲🇽 Guadalajara
Mexico
MX$650K MXN
$33K USD
$76K PPP
Detailed Comparison
| Metric | Boston | Guadalajara | Difference |
|---|---|---|---|
| Local Currency Salary | $202K USD | MX$650K MXN | — |
| USD Equivalent | $202K | $33K | +520% |
| PPP-Adjusted SalaryWINNER | $202K 🏆 | $76K | +167% |
| 25th Percentile | $161K USD | MX$520K MXN | — |
| Median | $202K USD | MX$650K MXN | — |
| 75th Percentile | $252K USD | MX$813K MXN | — |
| Annual Mean | $218K USD | MX$702K MXN | — |
What Does This Mean?
Boston offers a Machine Learning Engineer salary of $202K USD, while Guadalajara offers $33K USD — a difference of +520% in raw terms.
After adjusting for purchasing power parity (PPP), Boston's salary is worth $202K in US purchasing power terms, versus $76K for Guadalajara. 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.