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 S$333,000 (~$246,420 USD) (single filer): Take-home is approximately S$10,200 per bi-weekly paycheck, or ~S$265,190 per year after all taxes. Note: CPF is shown as a deduction but stays in your personal savings account.
| Career Stage | Annual Salary (SGD) | Approx. Net/Year |
|---|---|---|
| Junior / New Grad | S$259,000 | ~S$206,145 |
| Mid-Level MLE | S$315,000 | ~S$251,050 |
| Senior MLE | S$386,000 | ~S$306,530 |
| Staff / Principal MLE | S$499,000 | ~S$394,670 |
| Tax / Deduction | Per Bi-Weekly Check | Annual Amount | % of Salary |
|---|---|---|---|
| Gross Pay | S$12,808 | S$333,000 | 100% |
| Income Tax | −S$1,823 | −S$47,410 | 14.2% |
| CPF (Your Own Savings) | −S$785 | −S$20,400 | 6.1% |
| Net Take-Home (Note: CPF goes into your own savings account) | S$10,200 | ~S$265,190 | 79.6% |
At S$333,000, your effective total tax rate is approximately 20.4%. Remember: CPF (20%) is deducted but goes into your personal retirement/healthcare savings account, not the government.
Major employers in Singapore for machine learning engineers include Grab, Sea Limited, Shopee, Google APAC, Meta APAC, ByteDance Singapore.
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