Federated Learning Engineer.
Milwaukee.
$171,000
median salary, 9% below the national average
$127,000 to $226,000. Last updated April 2026.
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Data points to own the conversation.
The median Federated Learning Engineer salary in Milwaukee is $171,000, 9% below the national average. Entry level starts near $127,000. Experienced professionals push past $226,000. Milwaukee has a strong manufacturing heritage that is evolving into advanced manufacturing, water technology, and healthcare. That spread is your negotiation window.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $154,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$111,000
to $137,000
Mid (3-5 yrs)
$145,000
to $180,000
Senior (6-9 yrs)
$188,000
to $222,000
Lead (10+ yrs)
$214,000
to $265,000
Salary trend
+3% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $50,000 to the total package.
Base
$171,000
Equity
$29,000
Bonus
$18,000
Signing
$3,000
Estimated total: $221,000
How Milwaukee compares
Milwaukee, WI
$171,000
Cost of living: 9% below average
National Average
$188,000
Milwaukee is $17,000 below
Federated Learning Engineer salary by city
Salary by role in Milwaukee
What you should know
Before you negotiate a Federated Learning Engineer offer in Milwaukee, understand the terrain. Milwaukee has a strong manufacturing heritage that is evolving into advanced manufacturing, water technology, and healthcare. The city is a national leader in water innovation and freshwater research. Major employers include Northwestern Mutual, Rockwell Automation, and a growing health tech cluster. 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 Milwaukee, 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: wisconsin's top income tax rate is 7.65%. Milwaukee has no city income tax. The state rate is above average, but affordable housing keeps overall cost of living manageable. When someone quotes you $171,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Highlight advanced manufacturing or water technology expertise. Milwaukee employers pay nationally competitive rates for specialized engineering talent in these niche sectors. The range for Federated Learning Engineers in Milwaukee runs from $127,000 to $226,000. 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 LLM Fine-Tuning Engineer in Milwaukee earns $170,000 (1% less)
- The highest-paying role in Milwaukee is Chief AI Officer at $282,000
Common questions.
Federated Learning Engineer salary in other cities
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