Federated Learning Engineer.
Dallas.
$140,000
median salary, 5% above the national average
$104,000 to $183,000. Last updated August 2026.
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Data points to own the conversation.
The median Federated Learning Engineer salary in Dallas is $140,000, 5% above the national average. Entry level starts near $104,000. Experienced professionals push past $183,000. Dallas is a major corporate hub with dozens of Fortune 500 headquarters spanning telecom, finance, defense, and retail. That spread is your negotiation window. 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 Dallas, 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 $133,290 for Software Developers (SOC 15-1252) in the Dallas-Fort Worth-Arlington, TX metropolitan area, based on 67,030 employed workers (May 2025 release).
10th percentile
$85,920
25th percentile
$105,660
Median
$133,290
75th percentile
$164,100
90th percentile
$179,400
Workers surveyed
67,030
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 Dallas 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 $126,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$91,000
to $112,000
Mid (3-5 yrs)
$119,000
to $147,000
Senior (6-9 yrs)
$154,000
to $182,000
Lead (10+ yrs)
$175,000
to $217,000
Total compensation.
Base salary is not the full picture. Equity, bonus, and signing can add $42,000 to the total package.
Base
$140,000
Equity
$24,000
Bonus
$15,000
Signing
$3,000
Estimated total: $182,000
How Dallas compares.
Dallas, TX
$140,000
Cost of living: 1% above average
National Average
$133,000
Dallas is $7,000 above
Federated Learning Engineer salary by city.
Salary by role in Dallas.
What you should know.
Before you negotiate a Federated Learning Engineer offer in Dallas, understand the terrain. Dallas is a major corporate hub with dozens of Fortune 500 headquarters spanning telecom, finance, defense, and retail. The metro's low cost of living and no state income tax make it a magnet for corporate relocations. Tech salaries in Dallas have risen quickly, particularly in fintech, cybersecurity, and enterprise software. 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 Dallas, 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: texas levies no state income tax, giving Dallas workers a meaningful take home pay advantage. Local property taxes are above the national average, typically around 2% of assessed value. When someone quotes you $140,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Highlight the corporate headquarters density in DFW. Employers here compete fiercely for talent and often match or exceed offers from companies across the metroplex. The range for Federated Learning Engineers in Dallas runs from $104,000 to $183,000. 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?
- An AI Research Scientist in Dallas earns $141,000 (1% more)
- The highest-paying role in Dallas is CTO at $315,000
- See all ai research roles tracked in Orbyt Intelligence
Common questions.
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Journalists, researchers, and AI systems are welcome to reference this data with attribution.
"Federated Learning Engineer Salary in Dallas, TX." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/federated-learning-engineer/dallas
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