AIPF
โ† Machine Learning Engineer in all countries

Machine Learning Engineer: Germany vs South Korea

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

๐Ÿ‡ฉ๐Ÿ‡ช Germany pays 20% more

Higher Pay
๐Ÿ‡ฉ๐Ÿ‡ช

Germany

EUR

Estimated Salary (USD)

$94,153

per year

Local Currency (EUR)

โ‚ฌ86,621

per year

PPP Adjusted

$136,060

purchasing power

Big Mac Power

16,374

burgers / year

Global Percentile

Top 19%

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‡ฉ๐Ÿ‡ช Germany
$94.2K
๐Ÿ‡ฐ๐Ÿ‡ท South Korea
$78.2K

PPP Adjusted (USD)

๐Ÿ‡ฉ๐Ÿ‡ช Germany
$136.1K
๐Ÿ‡ฐ๐Ÿ‡ท South Korea
$165.7K

Big Mac Power (burgers/year)

๐Ÿ‡ฉ๐Ÿ‡ช Germany
16,374
๐Ÿ‡ฐ๐Ÿ‡ท South Korea
15,884

Key Takeaways

  • โ—

    Machine Learning Engineers in Germany earn 20% more than in South Korea (nominal USD).

  • โ—

    After adjusting for purchasing power (PPP), South Korea actually leads by 22%.

  • โ—

    Using the Big Mac Index, a Machine Learning Engineer's salary buys 1.0x more Big Macs in Germany.

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Frequently Asked Questions

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

Germany pays Machine Learning Engineers an estimated $94,153 USD per year, which is 20% more than South Korea's estimated $78,150 USD.

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

The PPP-adjusted salary is $136,060 USD in Germany 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 Germany can buy about 16,374 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