Machine Learning Engineer Salary: San Francisco vs Toronto
Annual median salary comparison (2024). All figures include local currency, USD equivalent, and PPP-adjusted purchasing power.
🇺🇸 San Francisco
United States
$241K USD
$241K USD
$241K PPP
Higher Purchasing Power
VS
USD Difference
+117%
San Francisco vs Toronto
🇨🇦 Toronto
Canada
CA$150K CAD
$111K USD
$135K PPP
Detailed Comparison
| Metric | San Francisco | Toronto | Difference |
|---|---|---|---|
| Local Currency Salary | $241K USD | CA$150K CAD | — |
| USD Equivalent | $241K | $111K | +117% |
| PPP-Adjusted SalaryWINNER | $241K 🏆 | $135K | +78% |
| 25th Percentile | $192K USD | CA$120K CAD | — |
| Median | $241K USD | CA$150K CAD | — |
| 75th Percentile | $301K USD | CA$187K CAD | — |
| Annual Mean | $260K USD | CA$161K CAD | — |
What Does This Mean?
San Francisco offers a Machine Learning Engineer salary of $241K USD, while Toronto offers $111K USD — a difference of +117% in raw terms.
After adjusting for purchasing power parity (PPP), San Francisco's salary is worth $241K in US purchasing power terms, versus $135K for Toronto. 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.