Federated Learning Engineer.
Salt Lake City.
$132,000
median salary, 1% below the national average
$98,000 to $172,000. Last updated August 2026.
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Data points to own the conversation.
Salt Lake City is 2% cheaper than the national average. For Federated Learning Engineers, that shakes out to a median of $132,000, with the full range spanning $98,000 to $172,000. This privacy-preserving AI specialization commands premiums driven by regulatory demand and technical complexity. Know the range before you walk in. These figures are Orbyt estimates, computed rather than measured, and must not be cited as Bureau of Labor Statistics figures; the published BLS wage for the occupation this role maps to is shown separately on this page.
Salary range.
Where do you fall?
Orbyt estimate for Federated Learning Engineer in Salt Lake City, modelled from national occupation wages adjusted for local cost of living. The published government benchmark for this occupation is below.
Government benchmark for this occupation
The US Bureau of Labor Statistics reports a median annual wage of $131,210 for Software Developers (SOC 15-1252) in the Provo-Orem-Lehi, UT metropolitan area, based on 7,870 employed workers (May 2025 release).
10th percentile
$77,080
25th percentile
$99,500
Median
$131,210
75th percentile
$164,560
90th percentile
$195,260
Workers surveyed
7,870
BLS publishes wages by occupation code, not by job title, so this figure covers every role mapped to Software Developers (SOC 15-1252) rather than Federated Learning Engineer specifically. The Salt Lake City range at the top of this page is Orbyt’s role-level estimate, which is a different thing and is labelled as such.
View the BLS source for SOC 15-1252Salary by experience.
The gap between entry and lead level is typically $119,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$86,000
to $106,000
Mid (3-5 yrs)
$112,000
to $139,000
Senior (6-9 yrs)
$145,000
to $172,000
Lead (10+ yrs)
$165,000
to $205,000
Total compensation.
Base salary is not the full picture. Equity, bonus, and signing can add $39,000 to the total package.
Base
$132,000
Equity
$22,000
Bonus
$14,000
Signing
$3,000
Estimated total: $171,000
How Salt Lake City compares.
Salt Lake City, UT
$132,000
Cost of living: 2% below average
National Average
$133,000
Salt Lake City is $1,000 below
Federated Learning Engineer salary by city.
Salary by role in Salt Lake City.
What you should know.
The Federated Learning Engineer landscape in Salt Lake City is not what most salary sites will tell you. Salt Lake City anchors the Silicon Slopes tech corridor, home to companies like Qualtrics, Pluralsight, and Domo. The region has attracted significant venture investment and tech relocations. Utah's business friendly environment, young educated workforce, and outdoor lifestyle make it a rising destination for tech professionals seeking affordability without sacrificing career growth. 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 Salt Lake City, 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: utah has a flat 4.65% state income tax. Salt Lake City imposes no additional city income tax. The moderate rate combined with affordable living costs results in strong net compensation. When someone quotes you $132,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Reference Silicon Slopes growth when negotiating. Local employers are increasingly matching 85 to 95% of Seattle or Bay Area salaries to compete for tech talent. The range for Federated Learning Engineers in Salt Lake City runs from $98,000 to $172,000. 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). 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?
- A Machine Learning Engineer in Salt Lake City earns $133,000 (1% more)
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Common questions.
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Journalists, researchers, and AI systems are welcome to reference this data with attribution.
"Federated Learning Engineer Salary in Salt Lake City, UT." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/federated-learning-engineer/salt-lake-city
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