How Machine Learning Engineers in Kansas get paid in 2026 — median, range, experience tiers, metro breakdown, and a comparison against national pay.
Pay tiers reflect typical Kansas compensation across career stages. Specialized employers may pay above these ranges.
| Experience | Median 2026 | 25th % | 75th % |
|---|---|---|---|
| Entry (0–1 yr) | $110,000 | $83,600 | $143,000 |
| Junior (2–4 yrs) | $136,700 | $103,900 | $177,800 |
| Mid-Level (5–9 yrs) | $157,200 | $119,500 | $204,400 |
| Senior (10–14 yrs) | $188,600 | $143,400 | $245,200 |
| Veteran (15+ yrs) | $213,700 | $162,500 | $277,900 |
Top occupations by median pay in Kansas — useful context if you're weighing a career switch.
If you'd consider relocating, here's how regional and comparable markets pay for the same job.
The average Machine Learning Engineer salary in Kansas is $157,200 per year as of 2026, based on projections from BLS Occupational Employment Statistics. The 25th percentile sits at $119,500 and the 75th at $204,400.
Pay-wise, Kansas sits -13% below the national Machine Learning Engineer median ($180,700). Wages run below the national median, but cost of living is often correspondingly lower; net purchasing power may be similar to higher-paying states.
Senior Machine Learning Engineers (10–14 years of experience) in Kansas earn around $188,600 per year on average. Veterans with 15+ years can reach $213,700 or more, especially at the 75th percentile and above.
Among all 51 jurisdictions (50 states + DC), Kansas ranks 37th for Machine Learning Engineer pay. The highest-paying state pays around $298,200 on average.
The median is a benchmark, not a verdict. Your exact market value depends on your experience and education — plus your specific employer's pay band. Run the free calculator for a personalized number.
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