A machine learning engineer in Singapore earns a median gross salary of S$175,000 per year in 2026 (about $130,000). Entry-level roles start around S$120,000, and senior machine learning engineers reach S$370,000 or more.
| Experience level | Gross salary (SGD) | ≈ USD |
|---|---|---|
| Entry level | S$120,000 | $91,000 |
| Median | S$175,000 | $130,000 |
| Senior | S$370,000 | $275,000 |
The Singaporean market for machine learning engineers
Singapore is Asia's highest-paying hub for finance and tech, combining salaries not far off US levels with very low taxes. Competition is intense and employment passes have tightened, but for senior professionals it remains the region's premium market.
Tax reality
Progressive income tax topping out around 24%, among the lowest of any developed economy. Foreigners don't pay CPF contributions.
How Singapore compares
United States median
$165,000
Singapore pays 21% less
United Kingdom median
$100,000
Singapore pays 30% more
EU average median
$90,000
Singapore pays 44% more
Machine Learning Engineer pay in Singapore: FAQ
How much does a machine learning engineer earn in Singapore?
In 2026, a machine learning engineer in Singapore earns a median gross salary of about S$175,000 per year (roughly $130,000). Entry-level pay starts around S$120,000 and experienced seniors reach S$370,000 or more.
What does an entry-level machine learning engineer make in Singapore?
Around S$120,000 gross per year. Typical entry route: bachelor's degree, and reaching the median usually takes about 4 years of experience.
Is Singapore a good country for machine learning engineers?
Singapore is Asia's highest-paying hub for finance and tech, combining salaries not far off US levels with very low taxes. Competition is intense and employment passes have tightened, but for senior professionals it remains the region's premium market.
How much tax does a machine learning engineer pay in Singapore?
Progressive income tax topping out around 24%, among the lowest of any developed economy. Foreigners don't pay CPF contributions.
Gross annual estimates derived from the Paygrade research dataset (updated 7 July 2026) using country wage factors and 2026 exchange rates. Read the full methodology. Actual offers vary by company, city and negotiation.