Machine Learning Engineer Salary: Seattle vs Vancouver
Annual median salary comparison (2024). All figures include local currency, USD equivalent, and PPP-adjusted purchasing power.
🇺🇸 Seattle
United States
$228K USD
$228K USD
$228K PPP
Higher Purchasing Power
VS
USD Difference
+115%
Seattle vs Vancouver
🇨🇦 Vancouver
Canada
CA$143K CAD
$106K USD
$129K PPP
Detailed Comparison
| Metric | Seattle | Vancouver | Difference |
|---|---|---|---|
| Local Currency Salary | $228K USD | CA$143K CAD | — |
| USD Equivalent | $228K | $106K | +115% |
| PPP-Adjusted SalaryWINNER | $228K 🏆 | $129K | +76% |
| 25th Percentile | $182K USD | CA$114K CAD | — |
| Median | $228K USD | CA$143K CAD | — |
| 75th Percentile | $284K USD | CA$179K CAD | — |
| Annual Mean | $246K USD | CA$154K CAD | — |
What Does This Mean?
Seattle offers a Machine Learning Engineer salary of $228K USD, while Vancouver offers $106K USD — a difference of +115% in raw terms.
After adjusting for purchasing power parity (PPP), Seattle's salary is worth $228K in US purchasing power terms, versus $129K for Vancouver. This means Seattle 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.