Machine Learning Engineer Salary: Toronto vs San Francisco
Annual median salary comparison (2024). All figures include local currency, USD equivalent, and PPP-adjusted purchasing power.
🇨🇦 Toronto
Canada
CA$150K CAD
$111K USD
$135K PPP
VS
USD Difference
-54%
Toronto vs San Francisco
🇺🇸 San Francisco
United States
$241K USD
$241K USD
$241K PPP
Higher Purchasing Power
Detailed Comparison
| Metric | Toronto | San Francisco | Difference |
|---|---|---|---|
| Local Currency Salary | CA$150K CAD | $241K USD | — |
| USD Equivalent | $111K | $241K | -54% |
| PPP-Adjusted SalaryWINNER | $135K | $241K 🏆 | -44% |
| 25th Percentile | CA$120K CAD | $192K USD | — |
| Median | CA$150K CAD | $241K USD | — |
| 75th Percentile | CA$187K CAD | $301K USD | — |
| Annual Mean | CA$161K CAD | $260K USD | — |
What Does This Mean?
Toronto offers a Machine Learning Engineer salary of $111K USD, while San Francisco offers $241K USD — a difference of -54% in raw terms.
After adjusting for purchasing power parity (PPP), Toronto's salary is worth $135K in US purchasing power terms, versus $241K for San Francisco. 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.