Machine learning engineers in New York City build and deploy production ML systems across financial services, adtech, e-commerce, and an expanding AI-native startup ecosystem. NYC has emerged as the second-largest ML job market in the United States, with total compensation at top firms rivaling Silicon Valley packages.
Equity compensation at NYC-based unicorns and public tech companies can add $50,000–$150,000 annually to base salary for senior and staff MLEs, making total compensation significantly higher than base figures suggest. Financial services firms — including Two Sigma, Citadel, and Jane Street — pay the highest absolute ML compensation in NYC, often surpassing FAANG-equivalent packages. Candidates with production experience in recommendation systems, NLP, or computer vision are in the tightest demand.
Machine Learning Engineer at A$404,000 (~$262,600 USD) (single filer): Take-home is approximately A$9,364 per bi-weekly paycheck, or ~A$243,453 per year after all taxes.
| Career Stage | Annual Salary (AUD) | Approx. Net/Year |
|---|---|---|
| Junior / New Grad | A$315,000 | ~A$196,283 |
| Mid-Level MLE | A$382,000 | ~A$231,793 |
| Senior MLE | A$470,000 | ~A$278,433 |
| Staff / Principal MLE | A$606,000 | ~A$350,513 |
| Tax / Deduction | Per Bi-Weekly Check | Annual Amount | % of Salary |
|---|---|---|---|
| Gross Pay | A$15,538 | A$404,000 | 100% |
| Income Tax | −A$5,864 | −A$152,467 | 37.7% |
| Medicare Levy | −A$311 | −A$8,080 | 2.0% |
| Net Take-Home | A$9,364 | ~A$243,453 | 60.3% |
At A$404,000, your effective total tax rate is approximately 39.7%.
Major employers in Melbourne for machine learning engineers include REA Group, SEEK, Carsales, NAB Technology, Square/Block.
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