AIPF
โ† Machine Learning Engineer in all countries

Machine Learning Engineer: Luxembourg vs South Korea

Side-by-side salary comparison ยท Estimated based on OECD & BLS data

๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg pays 51% more

Higher Pay
๐Ÿ‡ฑ๐Ÿ‡บ

Luxembourg

EUR

Estimated Salary (USD)

$117,662

per year

Local Currency (EUR)

โ‚ฌ108,249

per year

PPP Adjusted

$68,402

purchasing power

Big Mac Power

19,676

burgers / year

Global Percentile

Top 5%

๐Ÿ‡ฐ๐Ÿ‡ท

South Korea

KRW

Estimated Salary (USD)

$78,150

per year

Local Currency (KRW)

โ‚ฉ103,158,000

per year

PPP Adjusted

$165,746

purchasing power

Big Mac Power

15,884

burgers / year

Global Percentile

Top 45%

Visual Comparison

Salary (USD)

๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg
$117.7K
๐Ÿ‡ฐ๐Ÿ‡ท South Korea
$78.2K

PPP Adjusted (USD)

๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg
$68.4K
๐Ÿ‡ฐ๐Ÿ‡ท South Korea
$165.7K

Big Mac Power (burgers/year)

๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg
19,676
๐Ÿ‡ฐ๐Ÿ‡ท South Korea
15,884

Key Takeaways

  • โ—

    Machine Learning Engineers in Luxembourg earn 51% more than in South Korea (nominal USD).

  • โ—

    After adjusting for purchasing power (PPP), South Korea actually leads by 142%.

  • โ—

    Using the Big Mac Index, a Machine Learning Engineer's salary buys 1.2x more Big Macs in Luxembourg.

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Frequently Asked Questions

Who pays Machine Learning Engineers more: Luxembourg or South Korea?โ–พ

Luxembourg pays Machine Learning Engineers an estimated $117,662 USD per year, which is 51% more than South Korea's estimated $78,150 USD.

What is the PPP-adjusted salary for a Machine Learning Engineer in Luxembourg vs South Korea?โ–พ

The PPP-adjusted salary is $68,402 USD in Luxembourg and $165,746 USD in South Korea. PPP adjustment accounts for cost of living differences between the two countries.

How does the purchasing power compare for Machine Learning Engineers?โ–พ

Using the Big Mac Index, a Machine Learning Engineer in Luxembourg can buy about 19,676 Big Macs per year, while in South Korea it's about 15,884 Big Macs.

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