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Machine Learning Engineer: United States vs South Korea

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

πŸ‡ΊπŸ‡Έ United States pays 64% more

Higher Pay
πŸ‡ΊπŸ‡Έ

United States

USD

Estimated Salary (USD)

$127,980

per year

Local Currency (USD)

$127,980

per year

PPP Adjusted

$114,482

purchasing power

Big Mac Power

22,492

burgers / year

Global Percentile

Top 0%

πŸ‡°πŸ‡·

South Korea

KRW

Estimated Salary (USD)

$78,150

per year

Local Currency (KRW)

β‚©103,158,000

per year

PPP Adjusted

$165,746

purchasing power

Big Mac Power

15,884

burgers / year

Global Percentile

Top 45%

Visual Comparison

Salary (USD)

πŸ‡ΊπŸ‡Έ United States
$128.0K
πŸ‡°πŸ‡· South Korea
$78.2K

PPP Adjusted (USD)

πŸ‡ΊπŸ‡Έ United States
$114.5K
πŸ‡°πŸ‡· South Korea
$165.7K

Big Mac Power (burgers/year)

πŸ‡ΊπŸ‡Έ United States
22,492
πŸ‡°πŸ‡· South Korea
15,884

Key Takeaways

  • ●

    Machine Learning Engineers in United States earn 64% more than in South Korea (nominal USD).

  • ●

    After adjusting for purchasing power (PPP), South Korea actually leads by 45%.

  • ●

    Using the Big Mac Index, a Machine Learning Engineer's salary buys 1.4x more Big Macs in United States.

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Frequently Asked Questions

Who pays Machine Learning Engineers more: United States or South Korea?β–Ύ

United States pays Machine Learning Engineers an estimated $127,980 USD per year, which is 64% more than South Korea's estimated $78,150 USD.

What is the PPP-adjusted salary for a Machine Learning Engineer in United States vs South Korea?β–Ύ

The PPP-adjusted salary is $114,482 USD in United States 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?β–Ύ

Using the Big Mac Index, a Machine Learning Engineer in United States can buy about 22,492 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 Β· OECD Β· World Bank Β· Big Mac Index