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โ† Machine Learning Engineer in all countries

Machine Learning Engineer Salary in Chile (2026)

๐Ÿ‡จ๐Ÿ‡ฑEstimated based on OECD & BLS data

Salary Overview

Estimated Salary (USD)

$46,869

per year

Local Currency (CLP)

CLP$44,525,550

per year

PPP Adjusted

$200,646

purchasing power

Big Mac Power

๐Ÿ”12,771

burgers / year

How does it compare?

Global Percentile

Bottom 29%

0%50%100%

A Machine Learning Engineer in Chile earns more than 29% of Machine Learning Engineers worldwide. Ranked #31 out of 42 countries.

Top 5 Highest-Paying Countries

Bottom 5 Lowest-Paying Countries

#CountrySalary (USD)PPP
42๐Ÿ‡ฎ๐Ÿ‡ณ India$14.2K$415.8K
41๐Ÿ‡ง๐Ÿ‡ท Brazil$19.6K$144.1K
40๐Ÿ‡จ๐Ÿ‡ด Colombia$23.2K$237.3K
39๐Ÿ‡จ๐Ÿ‡ณ China$25.2K$151.5K
38๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico$27.3K$148.5K

Compare Chile with Other Countries

See how Machine Learning Engineer salaries in Chile stack up against other countries

Machine Learning Engineer Salary in Chile: What You Need to Know

Machine Learning Engineers in Chile earn an estimated $46,869 USD per year, which is approximately CLP$44,525,550 CLP at current exchange rates. This places Chile at #31 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 Chile is 70% lower. This difference reflects variations in local economies, cost of living, labor market conditions, and industry demand for Machine Learning Engineers in Chile.

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 Chile is equivalent to $200,646 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 Chile.

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 Chile could buy approximately 12,771 Big Macs per year. This everyday comparison helps illustrate the real-world purchasing power of this salary beyond abstract currency conversions.

How Chile Compares Globally

Among the 42 countries we track, a Machine Learning Engineer in Chile earns more than 29% 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.

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Frequently Asked Questions

How much does a Machine Learning Engineer earn in Chile?โ–พ

The estimated annual salary for a Machine Learning Engineer in Chile is $46,869 USD (approximately CLP$44,525,550 CLP). This is based on OECD and BLS data adjusted for the local economy.

How does the Machine Learning Engineer salary in Chile compare globally?โ–พ

A Machine Learning Engineer in Chile earns more than 29% of Machine Learning Engineers worldwide, ranking #31 out of 42 countries.

What is the purchasing power of a Machine Learning Engineer salary in Chile?โ–พ

Based on the Big Mac Index, a Machine Learning Engineer salary in Chile can buy approximately 12,771 Big Macs per year. The PPP-adjusted salary is $200,646 USD.

Which country pays Machine Learning Engineers the most?โ–พ

United States pays the highest estimated salary for Machine Learning Engineers at $127,980 USD per year.

Estimated based on OECD & BLS data. Actual salaries vary by experience, company, and region. Data is for informational purposes only.

Sources: BLS OEWS ยท OECD ยท World Bank ยท Big Mac Index