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Based on documented role samples.
City-level salary premiums for Machine Learning Engineer roles, adjusted for local cost of living.
Estimate your net income based on the average $ $136,344 salary.
* This is a simplified estimation. Local tax variations apply.
Proprietary analysis combining government data with industry benchmarks for Machine Learning Engineer in Toronto.
Tax rates are regional averages. CoL index: 79/100 (US baseline). Rent index: 68/100.
Based on 3.2% CAGR derived from Toronto official economic trajectory models. Market demand for Machine Learning Engineer roles is niche (index: 0/100).
A Machine Learning Engineer in Toronto earning $136,344 has a purchasing power equivalent to $111,802 in the United States, after adjusting for local cost of living.
PPP data from OECD 2024 estimates. A lower CoL index means your salary stretches further.
Estimated progression based on Toronto market trends.
Based on our analysis of 324 documented salary records, the current average Machine Learning Engineer salary in Toronto is $136,344. Our models project this to reach $146,051 by 2026, reflecting a 3.2% annual growth rate.
Experience is the largest determinant. Entry-level practitioners typically earn below the median, while senior and executive-level professionals can command significantly higher premiums.
After accounting for the average effective tax rate of 26% (Federal + Provincial avg.), a Machine Learning Engineer earning $136,344 takes home approximately $100,895 per year, or $8,408 per month.
The same role in United States pays $176,675. Machine Learning Engineer salaries vary significantly across regions due to differences in cost of living, tax structures, and local market demand. We track this role across 10 countries.
A Machine Learning Engineer earning $136,344 in Toronto has purchasing power equivalent to approximately $111,802 in the US. Toronto has a cost-of-living index of 79/100 relative to the US baseline.
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See how compensation for this role scales across other major global hubs for 2026.