Machine Learning Engineer Salary: Seattle vs Toronto
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
+106%
Seattle vs Toronto
🇨🇦 Toronto
Canada
CA$150K CAD
$111K USD
$135K PPP
Detailed Comparison
| Metric | Seattle | Toronto | Difference |
|---|---|---|---|
| Local Currency Salary | $228K USD | CA$150K CAD | — |
| USD Equivalent | $228K | $111K | +106% |
| PPP-Adjusted SalaryWINNER | $228K 🏆 | $135K | +69% |
| 25th Percentile | $182K USD | CA$120K CAD | — |
| Median | $228K USD | CA$150K CAD | — |
| 75th Percentile | $284K USD | CA$187K CAD | — |
| Annual Mean | $246K USD | CA$161K CAD | — |
What Does This Mean?
Seattle offers a Machine Learning Engineer salary of $228K USD, while Toronto offers $111K USD — a difference of +106% in raw terms.
After adjusting for purchasing power parity (PPP), Seattle's salary is worth $228K in US purchasing power terms, versus $135K for Toronto. 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.