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Adjust your target compensation to recalculate net take-home pay in Virginia.
Compensation by Seniority Level
How pay scales from entry-level to lead positions in Virginia.
| Experience Tier | Gross Annual | Net Take-Home (Yr) | Net Monthly | Est. Tax Rate |
|---|---|---|---|---|
| Entry-Level (0-2 yrs) | $119,362 | $86,022 | $7,168/mo | 27.9% |
| Mid-Level (Median) | $161,300 | $112,275 | $9,356/mo | 30.4% |
| Senior / Staff (5+ yrs) | $229,046 | $156,632 | $13,053/mo | 31.6% |
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In Virginia, a Machine Learning Engineer commands a competitive compensation package averaging $161,300.0 per year. Due to Virginia's expanding economic hubs (Arlington, McLean, Richmond, Tysons), companies actively recruit specialized talent with modern engineering stacks.
With an overall cost of living index of 102.1, expenses in Virginia are in line with the US national average. With a state tax rate around 5.8%, professionals retain a balanced proportion of their gross earnings.
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Frequently Asked Questions
Is $161,300.0 a good salary for a Machine Learning Engineer in Virginia?
Yes. An annual salary of $161,300.0 provides a strong standard of living in Virginia, allowing comfortable discretionary spending and retirement savings.
How much tax will I pay as a Machine Learning Engineer in Virginia?
On a gross income of $161,300.0, your estimated total taxes comprise Federal income tax, FICA contributions (Social Security & Medicare), and Virginia state income tax (5.8%).
What is the take-home monthly pay for a Machine Learning Engineer in Virginia?
After federal and state withholdings, the estimated take-home pay is approximately $9,678 - $10,484 per month depending on individual deductions.
What cities in Virginia pay the highest for Machine Learning Engineer roles?
Top paying metropolitan regions in Virginia include Arlington, McLean, Richmond, Tysons, which host a heavy concentration of enterprise and venture-backed employers.