Machine Learning Engineer Salary in Australia
The median salary for a Machine Learning Engineer in Australia is A$170,000. Most professionals earn between A$126,000 and A$303,000, with the top 10% earning A$303,000.
Pay percentiles
Regional estimateGross annual, local currency.
Salary by seniority
Estimated| Junior | A$102,000 | -40% |
| Mid-level | A$150,000 | -12% |
| Senior | A$213,000 | +25% |
| Lead / Exec | A$298,000 | +75% |
Total compensation
Benefits are worth about A$20,500 a year on top of cash pay.
Where this pay goes furthest
The same package, in local cost-of-living terms, across markets.
- India₹1,086,000
- Portugal€35,000
- PolandPLN 195,000
- Italy€52,000
- Japan¥8,912,000
- Spain€56,000
How we calculate this
These figures represent a regional estimate for Machine Learning Engineers in Australia. All stated figures are gross annual amounts before tax. The data is based on a regional estimate and should not be considered official.
Frequently asked questions
Is A$170,000 a good salary for a Machine Learning Engineer in Australia?
Earning the median salary of A$170,000 means you are earning more than half of all Machine Learning Engineers in Australia. The top 25% earn above A$230,000, indicating a strong earning potential in the field.
How does a senior Machine Learning Engineer salary compare to a junior one?
The median salary for a senior Machine Learning Engineer is A$213,000, significantly higher than the junior median of A$102,000. This reflects the increased experience and responsibility typically associated with senior roles.
What is the total compensation for a Machine Learning Engineer?
The median base salary for a Machine Learning Engineer is A$170,000. Additionally, benefits can add an estimated A$20,500 per year to your total compensation package.
How are Machine Learning Engineer salaries calculated?
Salaries are determined by various factors including experience, location, company size, and specific skills. The figures provided represent percentiles, showing the distribution of earnings across the profession.