Tech · Mississippi

Machine Learning Engineer Salary in Mississippi (2026)

Median Machine Learning Engineer salary in Mississippi is approximately $138,600/year — about 16.0% below the national average.

Annual salary breakdown

$138,600
median annual salary in Mississippi
Hourly (40 hr/week, 52 wk)
2,080 hours/year
$67
Weekly
$2,665
Biweekly (26 paychecks)
$5,331
Monthly
$11,550
Annual (gross)
$138,600

After-tax estimate

$101,663
estimated take-home/year
Gross salary
$138,600
Federal income tax (est.)
~14% effective
−$19,404
FICA (7.65%)
−$10,603
Mississippi state tax (est.)
Approximate effective rate
−$6,930
Estimated take-home
$101,663
Monthly take-home
$8,472
For exact take-home, use our Mississippi Paycheck Calculator.
Machine Learning Engineer salary by similar state (cost-of-living adjusted)
StateEstimated annualvs Mississippi
Arkansas$141,900+$3,300
West Virginia$141,900+$3,300
Alabama$145,200+$6,600
Kentucky$145,200+$6,600

Machine Learning Engineer salaries in Mississippi, explained

The estimated median Machine Learning Engineer salary in Mississippi is $138,600/year, which is about 16.0% below the US national median of $165,000. That works out to roughly $67/hour at a standard 40-hour week, $2,665/week, $5,331/biweekly, or $11,550/month before taxes.

Mississippi ranks 51 of 51 US states (including DC) on a cost-of-living-adjusted compensation basis. The state multiplier of 0.84× reflects how typical wages adjust to local prices — higher in places like California, New York, and Massachusetts; lower in Mississippi, West Virginia, and Arkansas.

Mississippi spotlight: economy and Machine Learning Engineer role context

Lowest cost of living in continental US; smallest state economy. Economically, agriculture and manufacturing dominate. From a cost-of-living standpoint, this is one of the lowest-cost states in the US, which directly informs how regional employers price Machine Learning Engineer roles — higher COL areas adjust salaries upward to remain competitive in the labor market.

Lowest cost of living in continental US; smallest state economy. The state's economy centers on agriculture, manufacturing, shipbuilding — a Machine Learning Engineer role outside these dominant sectors may earn closer to (or below) the state median figure shown.

State income tax in this region tends to be moderate (typically 4–6% effective at this income), and combined with relatively low cost of living, real after-tax purchasing power often exceeds higher-paying coastal states. Pair this estimate with our paycheck calculator for exact figures.

What affects your actual salary

  • Experience level: entry-level often 25–35% below median, senior roles 40–60%+ above.
  • Metro area within Mississippi: major metros pay more than rural areas. Bay Area vs Central Valley California is a 30%+ swing.
  • Employer size: large companies typically pay 10–20% more than small businesses for the same role.
  • Industry: a Software Engineer at a tech company makes more than at a non-tech employer; a Marketing Manager at a top brand earns more than at a startup.
  • Education and credentials: degrees and certifications can shift compensation by 15–30%.
  • Negotiation: simply asking for more and negotiating can move offers 5–15%.

Take-home pay in Mississippi

Of the gross $138,600, you take home roughly $101,663 after federal income tax (~14% effective at this income level), FICA (7.65%), and Mississippi's state income tax (roughly 5% effective). That's about $8,472/month after-tax.

For a precise after-tax calculation including 401(k) contributions, HSA, filing status, and state-specific brackets, use our Mississippi Paycheck Calculator. For comparisons across cities, see the Paycheck Calculator with city-specific tax data.

Where this number comes from

Our estimate combines: (1) US national median for Machine Learning Engineer based on Bureau of Labor Statistics Occupational Employment Statistics, and (2) Mississippi's cost-of-living multiplier derived from BEA Regional Price Parities. The multiplier captures average wage adjustment to local prices — useful for budgeting and offer comparisons.

For more precise numbers specific to your role and metro: BLS OES (bls.gov/oes), Glassdoor, Levels.fyi (tech roles), salary.com, or LinkedIn Salary Insights. Cross-reference 2-3 sources before negotiation.

Related tools

Salary Calculator — convert hourly to annual. Mississippi Paycheck Calculator — exact take-home. Income Tax Calculator — federal tax with brackets. Mississippi Mortgage Calculator — what you can afford. Investment Calculator — long-term growth from this income.

Frequently Asked Questions

What is the average Machine Learning Engineer salary in Mississippi?
The estimated median Machine Learning Engineer salary in Mississippi is $138,600 per year, or approximately $67/hour at 40 hours per week. Real-world salaries vary by experience (entry-level often 30% lower, senior 40-60% higher), employer, and metro area within Mississippi.
How does this compare to the national Machine Learning Engineer salary?
The US national median for Machine Learning Engineer is approximately $165,000. Mississippi comes in at 16.0% below the national average, ranking 51 of 51 by cost-of-living-adjusted compensation.
What's the hourly equivalent for $138,600/year?
$138,600/year ÷ 2,080 hours = approximately $67/hour at standard full-time (40 hours × 52 weeks). Adjust for unpaid time off, overtime, or different schedules.
What's the after-tax take-home for Machine Learning Engineer in Mississippi?
Estimate: $101,663/year after federal income tax (~14% effective at this income), FICA (7.65%), and Mississippi state tax. Use our Paycheck Calculator for state-specific accuracy with your actual deductions, 401(k), and filing status.
How accurate are these salary estimates?
These are population-level estimates based on national medians adjusted for Mississippi's cost-of-living index. Real salaries depend on metro area (Bay Area vs rural California is 30%+ difference), employer size, years of experience, and specific role. For precise data, check Bureau of Labor Statistics OES, Glassdoor, Levels.fyi, or salary.com.