Machine Learning Engineer salary: Singapore vs Toronto (2026)

Toronto pays Machine Learning Engineers 16% more than Singapore at the mid-level band — a median of CA$148k vs S$128k.

Estimates based on public benchmarks and modelled data. How we calculate →

Median salary gap
16%
Toronto wins by CA$20k/yr at mid-level
2026 · Gross annual base

Singapore

Median (mid-level)
S$128k
Typical range (p25–p75)
S$100kS$164k
Senior median
S$199k
Junior median
S$72k

Toronto

Higher pay
Median (mid-level)
CA$148k
Typical range (p25–p75)
CA$113kCA$189k
Senior median
CA$231k
Junior median
CA$82k

Singapore vs Toronto — the verdict

Toronto pays Machine Learning Engineers a median of CA$148k per year, around 16% more than Singapore's S$128k. That's roughly CA$20k of additional gross base pay every year for the same role at the mid-level band.

The premium narrows once you factor in cost of living, tax, and housing. Singapore often delivers stronger real purchasing power, especially for early-career professionals — and the local market is typically less competitive.

Use the CompVerdict offer checker below to test a specific offer against either city's market. A strong offer sits above the p75; a fair offer lands near the median; below p25 there's a clear case to negotiate.

Machine Learning Engineer salary by experience band

BandSingaporeTorontoGap
JuniorS$72kCA$82k13%
Mid-levelS$128kCA$148k16%
SeniorS$199kCA$231k16%

Medians shown. Gap is computed against the lower-paying city at each band.

Got an offer in either city?

Knowing the gap is step one. The real question is where your specific offer sits within Singapore's or Toronto's range. If your offer is in the bottom 30% for the role and city, there's a strong case to push back.

Use the CompVerdict tool to get your verdict instantly. No signup. You'll also get a ready-to-send negotiation script based on the local market.

Check an offer →

Frequently asked questions

Which city pays more for Machine Learning Engineers — Singapore or Toronto?

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Toronto pays more. The median Machine Learning Engineer salary in Toronto is CA$148k vs S$128k in Singapore — a 16% gap at the mid-level band. Singapore median is S$128k; Toronto median is CA$148k.

What's the salary gap between Singapore and Toronto for Machine Learning Engineers?

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At the mid-level (3–5 years experience) band, Toronto pays 16% more than Singapore for Machine Learning Engineers. The absolute difference is roughly CA$20k per year on the median. Junior and senior bands shift the gap slightly, but the direction is consistent.

Which is better for senior Machine Learning Engineers — Singapore or Toronto?

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Senior Machine Learning Engineers earn CA$231k median in Toronto vs S$199k in Singapore. Toronto maintains its lead at the senior band, often widening as total comp (equity, bonus) compounds with seniority. Singapore can still close the gap when you adjust for cost of living.

Are Singapore and Toronto salaries cost-of-living adjusted?

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No — these are gross annual base salary figures. Toronto typically has higher living costs alongside its higher pay. To see how either salary translates into rent affordability, use SpendVerdict; for savings potential, use PathVerdict. The headline gap of 16% narrows significantly once you adjust for housing, tax, and lifestyle costs.

Salary estimates are based on public benchmarks and modelled data. They represent gross annual base salary and do not include bonuses, equity, or benefits. Read our methodology →