Tax Preparer vs Machine Learning Engineer Salary
Machine Learning Engineers earn approximately 200.0% more than Tax Preparers nationally — $165,000 vs $55,000.
Tax Preparer vs Machine Learning Engineer: salary breakdown
On a national-median basis, Machine Learning Engineers out-earn Tax Preparers by $110,000 per year — a 200.0% gap. That works out to roughly $9,167/month or $53/hour of difference.
Important context: these are MEDIANS — the middle salary in the country. Real-world variation is wide: entry-level roles in either career may pay 25-35% below median, while senior roles or specialized niches can pay 50-100%+ above. Your specific numbers depend on experience, location, employer, and credentials.
When does the salary gap matter most?
For someone choosing between these careers, the $110,000 annual difference compounds:
- Over 10 years: ~$1,100,000 in raw salary difference
- Over 40 years: ~$4,400,000 (without raises or compounding)
- With 3% annual raises: the gap typically grows because the higher-paid role's raises are also larger in dollar terms
- With investment compounding: the $110,000/year extra invested at 7% over 40 years grows to roughly $21,890,000 — significantly more than the raw difference
But salary isn't everything. Job satisfaction, work-life balance, growth potential, and career switching costs all matter. A career you can sustain for decades beats a higher-paying one you'll burn out on.
By state and city — significant variation
National medians are starting points. Real salaries vary 30%+ by location:
- Tax Preparer in California ≈ $64,900 (1.18× national)
- Tax Preparer in Mississippi ≈ $46,200 (0.84× national)
- Machine Learning Engineer in California ≈ $194,700
- Machine Learning Engineer in Mississippi ≈ $138,600
Use our Tax Preparer salary by state pages to drill into specific locations.
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Tax Preparer salary by state — Machine Learning Engineer salary by state — Best cities for Tax Preparer — Best cities for Machine Learning Engineer — Paycheck Calculator — Investment Calculator.