Machine Learning Engineer Salary: Melbourne vs New York
Annual median salary comparison (2024). All figures include local currency, USD equivalent, and PPP-adjusted purchasing power.
🇦🇺 Melbourne
Australia
A$163K AUD
$106K USD
$145K PPP
VS
USD Difference
-49%
Melbourne vs New York
🇺🇸 New York
United States
$208K USD
$208K USD
$208K PPP
Higher Purchasing Power
Detailed Comparison
| Metric | Melbourne | New York | Difference |
|---|---|---|---|
| Local Currency Salary | A$163K AUD | $208K USD | — |
| USD Equivalent | $106K | $208K | -49% |
| PPP-Adjusted SalaryWINNER | $145K | $208K 🏆 | -30% |
| 25th Percentile | A$130K AUD | $166K USD | — |
| Median | A$163K AUD | $208K USD | — |
| 75th Percentile | A$203K AUD | $260K USD | — |
| Annual Mean | A$176K AUD | $225K USD | — |
What Does This Mean?
Melbourne offers a Machine Learning Engineer salary of $106K USD, while New York offers $208K USD — a difference of -49% in raw terms.
After adjusting for purchasing power parity (PPP), Melbourne's salary is worth $145K in US purchasing power terms, versus $208K for New York. This means New York offers better real purchasing power for this role.
PPP adjustment accounts for differences in local prices — for example, housing costs 3x more in San Francisco than in Warsaw, so a San Francisco salary needs to be much higher to provide an equivalent standard of living.