Machine Learning Engineer Salary: Vancouver vs San Francisco
Annual median salary comparison (2024). All figures include local currency, USD equivalent, and PPP-adjusted purchasing power.
🇨🇦 Vancouver
Canada
CA$143K CAD
$106K USD
$129K PPP
VS
USD Difference
-56%
Vancouver vs San Francisco
🇺🇸 San Francisco
United States
$241K USD
$241K USD
$241K PPP
Higher Purchasing Power
Detailed Comparison
| Metric | Vancouver | San Francisco | Difference |
|---|---|---|---|
| Local Currency Salary | CA$143K CAD | $241K USD | — |
| USD Equivalent | $106K | $241K | -56% |
| PPP-Adjusted SalaryWINNER | $129K | $241K 🏆 | -46% |
| 25th Percentile | CA$114K CAD | $192K USD | — |
| Median | CA$143K CAD | $241K USD | — |
| 75th Percentile | CA$179K CAD | $301K USD | — |
| Annual Mean | CA$154K CAD | $260K USD | — |
What Does This Mean?
Vancouver offers a Machine Learning Engineer salary of $106K USD, while San Francisco offers $241K USD — a difference of -56% in raw terms.
After adjusting for purchasing power parity (PPP), Vancouver's salary is worth $129K 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.