Salary Levels by Experience
| Experience Level | Salary Range | Est. Annual Net |
|---|---|---|
| Junior / New Grad | $109,000–$133,000 | ~$93,456 |
| Mid-Level MLE | $130,000–$164,000 | ~$111,227 |
| Senior MLE | $160,000–$202,000 | ~$134,770 |
| Staff / Principal MLE | $197,000–$269,000 | ~$171,583 |
Tax Breakdown at $155,000 (Bi-Weekly)
| Component | Per Paycheck | Annual | % of Gross |
|---|---|---|---|
| Gross Pay | $5,961.54 | $155,000 | 100% |
| Federal Income Tax | −$1,017.19 | −$26,447 | 17.1% |
| No Texas State Tax 🎉 | $0.00 | $0.00 | 0.0% |
| FICA (SS + Medicare) | −$456.08 | −$11,858 | 7.7% |
| Net Take-Home | $4,488 | ~$116,695 | 75.3% |
What Drives Machine Learning Engineer Pay in Austin
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.
- Equity compensation and vesting schedule
- Financial services vs. consumer tech vs. startup sector
- Specialization in LLMs, computer vision, or recommendation systems
- Production ML experience vs. research background
Top Austin Employers
Major employers hiring machine learning engineers in Austin include: Dell, Apple Austin, Tesla, Oracle Austin, Google Austin, Indeed.
Tax note: At $155,000 in Austin, machine learning engineers benefit from no Texas state income tax — only federal taxes and FICA apply. This saves roughly $8,000–$14,000 per year compared to working in a high-tax state.
Frequently Asked Questions
A machine learning engineer earning $155,000 in Austin takes home approximately $116,695 per year, or $4,488 per bi-weekly paycheck, after all taxes. The effective tax rate is 24.7%.
Austin machine learning engineer salaries range from $109,000–$133,000 at entry level to $197,000–$269,000 for senior professionals. The median mid-career salary is approximately $155,000.
No — while a Ph.D. is valued at research-heavy organizations like Google Brain or Two Sigma, the majority of senior and staff MLE roles at Austin product companies prioritize demonstrated experience building and deploying production ML systems over doctoral credentials.
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