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  1. Home/
  2. Salaries/
  3. Federated Learning Engineer/
  4. Charleston

Federated Learning Engineer.

Charleston.

$150,000

median salary, 20% below the national average

$111,000 to $197,000. Last updated April 2026.

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Data points to own the conversation.

A Federated Learning Engineer in Charleston earns a median of $150,000 in 2026. That is 20% below the national average. The range runs from $111,000 to $197,000, and where you land depends on your experience, your skills, and how well you negotiate. This privacy-preserving AI specialization commands premiums driven by regulatory demand and technical complexity.

Salary range

25th Percentile

$111,000

per year

Median

$150,000

per year

75th Percentile

$197,000

per year

Where do you fall?

$111,000$197,000

Salary by experience

The gap between entry and lead level is typically $135,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$98,000

to $120,000

Mid (3-5 yrs)

$128,000

to $158,000

Senior (6-9 yrs)

$165,000

to $195,000

Lead (10+ yrs)

$188,000

to $233,000

Salary trend

+3% YoY
$133,000
2022
$137,000
2023
$141,000
2024
$146,000
2025
$150,000
2026

Total compensation

Base salary is not the full picture. Equity, bonus, and signing can add $45,000 to the total package.

Base

$150,000

Equity

$26,000

Bonus

$16,000

Signing

$3,000

Estimated total: $195,000

How Charleston compares

Charleston, WV

$150,000

Cost of living: 22% below average

National Average

$188,000

Charleston is $38,000 below

Federated Learning Engineer salary by city

Federated Learning Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$267,000$199,000 – $353,0001.38x$193,000
San Francisco, CA$259,000$193,000 – $341,0001.35x$192,000
New York, NY$250,000$186,000 – $330,0001.28x$195,000
Washington DC, DC$244,000$182,000 – $322,0001.25x$195,000
Honolulu, HI$242,000$180,000 – $319,0001.30x$186,000
Boston, MA$239,000$178,000 – $315,0001.22x$196,000
Seattle, WA$235,000$175,000 – $311,0001.24x$190,000
San Diego, CA$224,000$167,000 – $296,0001.17x$191,000
Los Angeles, CA$220,000$164,000 – $290,0001.18x$186,000
Charleston, WV$150,000$111,000 – $197,0000.78x$192,000

See all 30 cities for Federated Learning Engineer →

Salary by role in Charleston

Salary comparison by role in Charleston
RoleMedianRange
Chief AI Officer$251,000$187,000 – $324,000
Chief Technology Officer$233,000$173,000 – $305,000
SVP of AI Innovation$229,000$173,000 – $301,000
AI Research Scientist$151,000$113,000 – $197,000
Federated Learning Engineer$150,000$111,000 – $197,000
Cloud Architect$150,000$114,000 – $193,000
AI Red Teamer$150,000$111,000 – $197,000
Swarm Intelligence Engineer$150,000$112,000 – $196,000

What you should know

The Federated Learning Engineer landscape in Charleston is not what most salary sites will tell you. Charleston is West Virginia's capital and largest city, with an economy driven by government, energy, healthcare, and chemical manufacturing. The city offers some of the lowest living costs in the nation. Federal and state government roles provide stable employment anchors. This privacy-preserving AI specialization commands premiums driven by regulatory demand and technical complexity. Engineers with production federated learning deployments across healthcare, finance, or telecommunications earn 15 to 22% more than general ML engineers. Expertise in secure aggregation protocols, differential privacy mechanisms, and communication-efficient training across distributed nodes significantly increases market value.

ML engineers or privacy engineers earning $115,000 to $155,000 specialize into federated learning at $140,000 to $248,000. Senior federated learning engineers earn $195,000 to $270,000 before advancing to Principal Privacy ML Engineer or Head of Privacy-Preserving AI at $230,000 to $300,000. In Charleston, your dollars stretch further. Cost of living runs 22% below the national average, which means even a median salary buys a stronger lifestyle.

Base salary is not the full picture. Total packages range from $220,000 to $420,000 with equity, privacy compliance bonuses, and research incentives of 12 to 22% of base. Healthcare and financial services companies offer the strongest total compensation due to strict data privacy requirements driving federated learning adoption. And on the tax side: west Virginia's top income tax rate is 5.12%. Charleston has no city income tax. The very low cost of living means even moderate salaries deliver strong purchasing power. When someone quotes you $150,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Benchmark against federal government pay scales. Charleston employers often align with GS grades, and understanding the federal pay system gives you negotiating leverage. The range for Federated Learning Engineers in Charleston runs from $111,000 to $197,000. 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

Interactive

Is your offer competitive?

Enter your Federated Learning Engineer offer to see where you stand in Charleston.

$

25th

$111,000

Median

$150,000

75th

$197,000

Considering a related role?

  • A AI Research Scientist in Charleston earns $151,000 (1% more)
  • The highest-paying role in Charleston is Chief AI Officer at $251,000

Common questions.

GDPR, HIPAA, and emerging AI regulations have increased demand for federated learning expertise by 30 to 40% since 2024. Engineers who combine federated learning skills with regulatory compliance knowledge earn 10 to 18% premiums, as they bridge the gap between technical implementation and legal requirements.

The role has shifted decisively toward production engineering since 2025, which has actually increased compensation. Engineers who can deploy and maintain federated learning systems across thousands of devices earn more than those focused purely on algorithmic research, reflecting the market's need for operational expertise.

Relevant certifications can add 5 to 15% to a Federated Learning Engineer's base salary in Charleston. Specifically, this privacy-preserving ai specialization commands premiums driven by regulatory demand and technical complexity. In a market where the range spans $111,000 to $197,000, certifications often bridge the gap between the 50th and 75th percentile.

Charleston's cost of living multiplier is 0.78x the national average. The adjusted median Federated Learning Engineer salary of $150,000 accounts for this. In practice, a Federated Learning Engineer earning $150,000 in Charleston has roughly the same purchasing power as someone earning $192,308 in an average cost market.

Charleston is West Virginia's capital and largest city, with an economy driven by government, energy, healthcare, and chemical manufacturing. The city offers some of the lowest living costs in the nation. For Federated Learning Engineers specifically, the median salary of $150,000 reflects that demand.

Federated Learning Engineer salary in other cities

Washington DC$244,000
Wilmington$194,000
Wichita$151,000
Austin$199,000
Atlanta$194,000
Anchorage$212,000

Other salaries in Charleston

Knowledge Graph Engineer$138,000
Licensed Practical Nurse$39,000
Logistics Coordinator$42,000
Legal Operations Manager$96,000

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"Federated Learning Engineer Salary in Charleston, WV." Orbyt Salary Explorer, April 2026. https://www.orbytjobs.ai/salaries/federated-learning-engineer/charleston-wv

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