Principal Machine Learning Engineer.
North Charleston.
$274,000
median salary, 5% below the national average
$214,000 to $356,000. Last updated April 2026.
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Data points to own the conversation.
Principal Machine Learning Engineer pay in North Charleston ranges from $214,000 to $356,000 in 2026. The median is $274,000, 5% below the national average. North Charleston is the industrial and manufacturing heart of the Lowcountry, home to Boeing's 787 Dreamliner assembly facility and the Charleston Naval Complex. Every dollar in that range is negotiable if you come prepared.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $247,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$178,000
to $219,000
Mid (3-5 yrs)
$233,000
to $288,000
Senior (6-9 yrs)
$301,000
to $356,000
Lead (10+ yrs)
$343,000
to $425,000
Salary trend
+3% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $60,000 to the total package.
Base
$274,000
Equity
$33,000
Bonus
$22,000
Signing
$5,000
Estimated total: $334,000
How North Charleston compares
North Charleston, SC
$274,000
Cost of living: 6% below average
National Average
$289,000
North Charleston is $15,000 below
Principal Machine Learning Engineer salary by city
Salary by role in North Charleston
What you should know
If you are interviewing for Principal Machine Learning Engineer roles in North Charleston, here is what you are walking into. North Charleston is the industrial and manufacturing heart of the Lowcountry, home to Boeing's 787 Dreamliner assembly facility and the Charleston Naval Complex. The area has attracted significant defense, aerospace, and advanced manufacturing investment. Growth in logistics driven by the expanding port continues to drive employment. Compensation reflects specialization depth, production deployment scale, and the maturity of the AI systems being built. Principal Machine Learning Engineers who have shipped models serving millions of users command the highest premiums. Employer type matters significantly: AI labs and foundation model companies pay 20% to 40% more than enterprises adopting AI for internal use.
Principal Machine Learning Engineers earn $225,000 to $375,000. This is an advanced individual contributor track. Progression leads to distinguished engineer or fellow titles at $450,000 to $525,000, or transitions to engineering leadership at comparable compensation. In North Charleston, cost of living sits near the national average, so the numbers you see are roughly what you keep.
Base salary is not the full picture. Equity at top-tier companies adds 30% to 60% above base salary. Annual bonuses of 15% to 25% are standard. Signing bonuses of $25,000 to $75,000 are common when changing roles. Refresher equity grants vest annually. Relocation packages and executive benefits like financial planning are typical. And on the tax side: south Carolina's top income tax rate is 6.4%. North Charleston has no city income tax. The moderate state rate is offset by affordable housing and strong employer demand. When someone quotes you $274,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Highlight aerospace manufacturing experience. Boeing and defense contractors in North Charleston pay nationally competitive rates for specialized engineering skills. The range for Principal Machine Learning Engineers in North Charleston runs from $214,000 to $356,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology
Considering a related role?
- A VP of AI in North Charleston earns $273,000 (0% more)
- The highest-paying role in North Charleston is Principal AI Research Scientist at $336,000
Common questions.
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