Machine Learning Engineer Salary: San Francisco vs Vancouver
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
+127%
San Francisco vs Vancouver
🇨🇦 Vancouver
Canada
CA$143K CAD
$106K USD
$129K PPP
Detailed Comparison
| Metric | San Francisco | Vancouver | Difference |
|---|---|---|---|
| Local Currency Salary | $241K USD | CA$143K CAD | — |
| USD Equivalent | $241K | $106K | +127% |
| PPP-Adjusted SalaryWINNER | $241K 🏆 | $129K | +86% |
| 25th Percentile | $192K USD | CA$114K CAD | — |
| Median | $241K USD | CA$143K CAD | — |
| 75th Percentile | $301K USD | CA$179K CAD | — |
| Annual Mean | $260K USD | CA$154K CAD | — |
What Does This Mean?
San Francisco offers a Machine Learning Engineer salary of $241K USD, while Vancouver offers $106K USD — a difference of +127% in raw terms.
After adjusting for purchasing power parity (PPP), San Francisco's salary is worth $241K in US purchasing power terms, versus $129K for Vancouver. 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.