How Machine Learning Engineers in South Carolina get paid in 2026 — median, range, experience tiers, metro breakdown, and a comparison against national pay.
Pay tiers reflect typical South Carolina compensation across career stages. Specialized employers may pay above these ranges.
| Experience | Median 2026 | 25th % | 75th % |
|---|---|---|---|
| Entry (0–1 yr) | $111,300 | $84,600 | $144,600 |
| Junior (2–4 yrs) | $138,300 | $105,100 | $179,800 |
| Mid-Level (5–9 yrs) | $159,000 | $120,900 | $206,700 |
| Senior (10–14 yrs) | $190,800 | $145,000 | $248,000 |
| Veteran (15+ yrs) | $216,200 | $164,400 | $281,100 |
Top occupations by median pay in South Carolina — useful context if you're weighing a career switch.
→ See full ranking of top 25 highest-paying jobs in South Carolina
If you'd consider relocating, here's how regional and comparable markets pay for the same job.
The average Machine Learning Engineer salary in South Carolina is $159,000 per year as of 2026, based on projections from BLS Occupational Employment Statistics. The 25th percentile sits at $120,900 and the 75th at $206,700.
Pay-wise, South Carolina sits -12% 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 South Carolina earn around $190,800 per year on average. Veterans with 15+ years can reach $216,200 or more, especially at the 75th percentile and above.
Among all 51 jurisdictions (50 states + DC), South Carolina ranks 36th 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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