Tech · New Hampshire

Machine Learning Engineer Salary in New Hampshire (2026)

Median Machine Learning Engineer salary in New Hampshire is approximately $173,300/year — about 5.0% above the national average.

Annual salary breakdown

$173,300
median annual salary in New Hampshire
Hourly (40 hr/week, 52 wk)
2,080 hours/year
$83
Weekly
$3,333
Biweekly (26 paychecks)
$6,665
Monthly
$14,442
Annual (gross)
$173,300

After-tax estimate

$135,781
estimated take-home/year
Gross salary
$173,300
Federal income tax (est.)
~14% effective
−$24,262
FICA (7.65%)
−$13,257
New Hampshire state tax
No state income tax
$0
Estimated take-home
$135,781
Monthly take-home
$11,315
For exact take-home, use our New Hampshire Paycheck Calculator.
Machine Learning Engineer salary by similar state (cost-of-living adjusted)
StateEstimated annualvs New Hampshire
Colorado$173,300+$0
Oregon$173,300+$0
Rhode Island$170,000-$3,300
Virginia$170,000-$3,300

Machine Learning Engineer salaries in New Hampshire, explained

The estimated median Machine Learning Engineer salary in New Hampshire is $173,300/year, which is about 5.0% above the US national median of $165,000. That works out to roughly $83/hour at a standard 40-hour week, $3,333/week, $6,665/biweekly, or $14,442/month before taxes.

New Hampshire ranks 12 of 51 US states (including DC) on a cost-of-living-adjusted compensation basis. The state multiplier of 1.05× reflects how typical wages adjust to local prices — higher in places like California, New York, and Massachusetts; lower in Mississippi, West Virginia, and Arkansas.

New Hampshire spotlight: economy and Machine Learning Engineer role context

No state income tax (interest/dividends only, phasing out); proximity to Boston. Economically, manufacturing and tourism dominate. From a cost-of-living standpoint, this is an above-average-cost state, which directly informs how regional employers price Machine Learning Engineer roles — higher COL areas adjust salaries upward to remain competitive in the labor market.

No state income tax (interest/dividends only, phasing out); proximity to Boston. The state's economy centers on manufacturing, tourism, finance — a Machine Learning Engineer role outside these dominant sectors may earn closer to (or below) the state median figure shown.

No state income tax (interest/dividends only, phasing out) levies no state income tax, which materially boosts after-tax take-home compared to neighboring states. For a Machine Learning Engineer earning the state median, this typically saves $3,000–$8,000/year vs. an equivalent role in a state with 5% effective state tax.

What affects your actual salary

  • Experience level: entry-level often 25–35% below median, senior roles 40–60%+ above.
  • Metro area within New Hampshire: 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 New Hampshire

Of the gross $173,300, you take home roughly $135,781 after federal income tax (~14% effective at this income level), FICA (7.65%), and New Hampshire's state income tax (none — New Hampshire has no state income tax). That's about $11,315/month after-tax.

For a precise after-tax calculation including 401(k) contributions, HSA, filing status, and state-specific brackets, use our New Hampshire 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) New Hampshire'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. New Hampshire Paycheck Calculator — exact take-home. Income Tax Calculator — federal tax with brackets. New Hampshire 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 New Hampshire?
The estimated median Machine Learning Engineer salary in New Hampshire is $173,300 per year, or approximately $83/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 New Hampshire.
How does this compare to the national Machine Learning Engineer salary?
The US national median for Machine Learning Engineer is approximately $165,000. New Hampshire comes in at 5.0% above the national average, ranking 12 of 51 by cost-of-living-adjusted compensation.
What's the hourly equivalent for $173,300/year?
$173,300/year ÷ 2,080 hours = approximately $83/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 New Hampshire?
Estimate: $135,781/year after federal income tax (~14% effective at this income), FICA (7.65%), and New Hampshire 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 New Hampshire'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.