Pilot vs Machine Learning Engineer Salary
Machine Learning Engineers earn approximately 23.1% more than Pilots nationally — $165,000 vs $134,000.
Pilot vs Machine Learning Engineer: salary breakdown
On a national-median basis, Machine Learning Engineers out-earn Pilots by $31,000 per year — a 23.1% gap. That works out to roughly $2,583/month or $15/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 $31,000 annual difference compounds:
- Over 10 years: ~$310,000 in raw salary difference
- Over 40 years: ~$1,240,000 (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 $31,000/year extra invested at 7% over 40 years grows to roughly $6,169,000 — 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:
- Pilot in California ≈ $158,120 (1.18× national)
- Pilot in Mississippi ≈ $112,560 (0.84× national)
- Machine Learning Engineer in California ≈ $194,700
- Machine Learning Engineer in Mississippi ≈ $138,600
Use our Pilot salary by state pages to drill into specific locations.
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Pilot salary by state — Machine Learning Engineer salary by state — Best cities for Pilot — Best cities for Machine Learning Engineer — Paycheck Calculator — Investment Calculator.