Federated Learning Engineer.
Raleigh.
$188,000
median salary, at the national average
$140,000 to $248,000. Last updated July 2026.
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Data points to own the conversation.
A Federated Learning Engineer in Raleigh earns a median of $188,000 in 2026. That is right at the national average. The range runs from $140,000 to $248,000, 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.
Where do you fall?
Salary by experience.
The gap between entry and lead level is typically $169,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$122,000
to $150,000
Mid (3-5 yrs)
$160,000
to $197,000
Senior (6-9 yrs)
$207,000
to $244,000
Lead (10+ yrs)
$235,000
to $291,000
Salary trend.
+3% YoYTotal compensation.
Base salary is not the full picture. Equity, bonus, and signing can add $56,000 to the total package.
Base
$188,000
Equity
$32,000
Bonus
$20,000
Signing
$4,000
Estimated total: $244,000
How Raleigh compares.
Raleigh, NC
$188,000
Cost of living: 1% below average
National Average
$188,000
Same as local rate
Federated Learning Engineer salary by city.
Salary by role in Raleigh.
What you should know.
The Federated Learning Engineer landscape in Raleigh is not what most salary sites will tell you. Raleigh sits at the heart of the Research Triangle, one of America's premier tech and life sciences corridors. Cisco, Red Hat, Epic Games, and numerous biotech firms drive strong demand for engineering, research, and product roles. The combination of top tier universities and moderate living costs creates an exceptionally favorable salary to expense ratio. 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 Raleigh, 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. 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: north Carolina's flat 4.5% income tax keeps the burden low. Raleigh has no city income tax, and the Triangle's affordable housing amplifies your take home purchasing power. When someone quotes you $188,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Cite Research Triangle talent competition in your negotiation. Employers here compete directly with each other and with remote offers, creating favorable leverage for candidates. The range for Federated Learning Engineers in Raleigh runs from $140,000 to $248,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: BLS OES, H-1B LCA (DOL), state pay-transparency job postings, and community submissions. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified July 1, 2026. Full methodology
Considering a related role?
- An ML Engineer in Raleigh earns $187,000 (1% less)
- The highest-paying role in Raleigh is Principal Quantitative Researcher at $353,000
- See all ai research roles tracked in Orbyt Intelligence
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