Machine Learning Engineer Salary in Brazil: What You Need to Know
Machine Learning Engineers in Brazil earn an estimated $19,648 USD per year, which is approximately R$98,240 BRL at current exchange rates. This places Brazil at #41 out of 42 countries in our global salary ranking for this occupation.
Compared to the United States, where Machine Learning Engineers earn an estimated $158,000 USD per year, the salary in Brazil is 88% lower. This difference reflects variations in local economies, cost of living, labor market conditions, and industry demand for Machine Learning Engineers in Brazil.
Purchasing Power and Cost of Living
While nominal salary figures provide a useful starting point, they don't tell the full story. When adjusted for purchasing power parity (PPP), the salary for a Machine Learning Engineer in Brazil is equivalent to $144,066 USD. This means that after accounting for differences in the cost of goods and services, the real buying power of this salary is actually higher than the nominal figure suggests, indicating a relatively lower cost of living in Brazil.
To put this in more tangible terms, using The Economist's Big Mac Index as an informal measure of purchasing power, a Machine Learning Engineer's annual salary in Brazil could buy approximately 4,290 Big Macs per year. This everyday comparison helps illustrate the real-world purchasing power of this salary beyond abstract currency conversions.
How Brazil Compares Globally
Among the 42 countries we track, a Machine Learning Engineer in Brazil earns more than 5% of Machine Learning Engineers worldwide. The highest-paying country for this role is United States at $127,980 USD, while the lowest is India at $14,217 USD.
These estimates are derived from publicly available data from the U.S. Bureau of Labor Statistics (BLS), OECD average wages, World Bank purchasing power parity factors, and The Economist's Big Mac Index. The salary for each country is calculated by adjusting the U.S. baseline salary using country-specific wage ratios and sector multipliers. While these figures provide a useful benchmark, actual salaries can vary significantly based on experience level, company size, specific city or region, education, and industry sector.