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Federated Learning Engineer.

Little Rock.

$107,000

median salary, 20% below the national average

$80,000 to $140,000. Last updated August 2026.

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Data points to own the conversation.

If you are evaluating a Federated Learning Engineer offer in Little Rock, AR, here is the reality: $80,000 to $140,000, with $107,000 as the midpoint. 20% below the national average. This privacy-preserving AI specialization commands premiums driven by regulatory demand and technical complexity. Do not accept the first number. 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.

25th Percentile

$80,000

per year

Median

$107,000

per year

75th Percentile

$140,000

per year

Where do you fall?

$80,000$140,000

Orbyt estimate for Federated Learning Engineer in Little Rock, 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 $104,070 for Software Developers (SOC 15-1252) in the Little Rock-North Little Rock-Conway, AR metropolitan area, based on 1,590 employed workers (May 2025 release).

10th percentile

$61,990

25th percentile

$83,010

Median

$104,070

75th percentile

$127,960

90th percentile

$154,030

Workers surveyed

1,590

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 Little Rock 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 15-1252

Salary by experience.

The gap between entry and lead level is typically $96,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$70,000

to $86,000

Mid (3-5 yrs)

$91,000

to $112,000

Senior (6-9 yrs)

$118,000

to $139,000

Lead (10+ yrs)

$134,000

to $166,000

Total compensation.

Base salary is not the full picture. Equity, bonus, and signing can add $31,000 to the total package.

Base

$107,000

Equity

$18,000

Bonus

$11,000

Signing

$2,000

Estimated total: $138,000

How Little Rock compares.

Little Rock, AR

$107,000

Cost of living: 18% below average

National Average

$133,000

Little Rock is $26,000 below

Federated Learning Engineer salary by city.

Federated Learning Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$189,000$141,000 to $247,0001.38x$137,000
San Francisco, CA$183,000$136,000 to $240,0001.35x$136,000
New York, NY$177,000$132,000 to $232,0001.28x$138,000
Washington DC, DC$173,000$129,000 to $226,0001.25x$138,000
Honolulu, HI$171,000$127,000 to $224,0001.30x$132,000
Boston, MA$169,000$126,000 to $221,0001.22x$139,000
Seattle, WA$167,000$124,000 to $218,0001.24x$135,000
San Diego, CA$159,000$118,000 to $208,0001.17x$136,000
Los Angeles, CA$155,000$116,000 to $203,0001.18x$131,000
Little Rock, AR$107,000$80,000 to $140,0000.82x$130,000

See all 81 cities for Federated Learning Engineer →

Salary by role in Little Rock.

Salary comparison by role in Little Rock
RoleMedianRange
CTO$253,000$198,000 to $329,000
General Counsel$225,000$175,000 to $293,000
CEO$221,000$161,000 to $305,000
Federated Learning Engineer$107,000$80,000 to $140,000
NLP Engineer$107,000$80,000 to $140,000
Speech Recognition Engineer$107,000$83,000 to $136,000
Pharmacist$107,000$96,000 to $123,000
Software Engineer$107,000$83,000 to $136,000

What you should know.

Here is what the Federated Learning Engineer market actually looks like in Little Rock. Little Rock's economy is driven by Walmart's nearby headquarters ecosystem, state government, healthcare, and logistics. The metro's extremely low cost of living means even moderate salaries deliver strong purchasing power. Tech jobs are growing as companies seek affordable alternatives to major metros. 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 Little Rock, your dollars stretch further. Cost of living runs 18% 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: arkansas has a top income tax rate of 4.4%. Little Rock has no city income tax. The combination of low taxes and very affordable housing creates one of the best net pay environments in the country. When someone quotes you $107,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Reference the Walmart and Tyson ecosystem when negotiating. Northwest Arkansas and Little Rock employers benchmark against national corporate pay scales. The range for Federated Learning Engineers in Little Rock runs from $80,000 to $140,000. 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

Interactive

Is your offer competitive?

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

$

25th

$80,000

Median

$107,000

75th

$140,000

Considering a related role?

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.

In 2026, the average Federated Learning Engineer salary in Little Rock, AR is $107,000. The estimated range runs from $80,000 to $140,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

In Little Rock, large enterprises typically pay Federated Learning Engineers 10 to 20% more in base salary than small companies, but startups often compensate with equity that can exceed base salary value. Total packages range from $220,000 to $420,000 with equity, privacy compliance bonuses, and research incentives of 12 to 22% of base. The $80,000 to $140,000 range reflects this entire spectrum.

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. In Little Rock's market, the base range of $80,000 to $140,000 is just the starting point for negotiation.

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. In Little Rock, these factors can push compensation from $80,000 to $140,000 or beyond.

Federated Learning Engineer salary in other cities.

Other salaries in Little Rock.

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"Federated Learning Engineer Salary in Little Rock, AR." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/federated-learning-engineer/little-rock

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