Federated Learning Engineer.
Lexington.
$158,000
median salary, 16% below the national average
$118,000 to $209,000. Last updated April 2026.
Get the job.
Data points to own the conversation.
Lexington is 14% cheaper than the national average. For Federated Learning Engineers, that shakes out to a median of $158,000, with the full range spanning $118,000 to $209,000. This privacy-preserving AI specialization commands premiums driven by regulatory demand and technical complexity. Know the range before you walk in.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $142,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$103,000
to $126,000
Mid (3-5 yrs)
$134,000
to $166,000
Senior (6-9 yrs)
$174,000
to $205,000
Lead (10+ yrs)
$198,000
to $245,000
Salary trend
+3% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $47,000 to the total package.
Base
$158,000
Equity
$27,000
Bonus
$17,000
Signing
$3,000
Estimated total: $205,000
How Lexington compares
Lexington, KY
$158,000
Cost of living: 14% below average
National Average
$188,000
Lexington is $30,000 below
Federated Learning Engineer salary by city
Salary by role in Lexington
What you should know
The Federated Learning Engineer landscape in Lexington is not what most salary sites will tell you. Lexington is Kentucky's second largest city with an economy driven by the University of Kentucky, healthcare, and the equine industry. A growing tech startup scene and affordable cost of living are attracting remote workers. The bourbon and manufacturing sectors also contribute to the local economy. 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 Lexington, your dollars stretch further. Cost of living runs 14% 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: kentucky has a flat 4% state income tax. Lexington has an occupational tax of about 2.25%. The combined rate is moderate and the very affordable housing stretches salaries further. When someone quotes you $158,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Leverage UK Health and the medical corridor when negotiating. Healthcare and biotech roles command nationally competitive salaries in Lexington. The range for Federated Learning Engineers in Lexington runs from $118,000 to $209,000. 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 AI Model Distillation Engineer in Lexington earns $159,000 (1% more)
- The highest-paying role in Lexington is Distinguished Engineer at $275,000
Common questions.
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