Federated Learning Engineer.
Ann Arbor.
$190,000
median salary, 1% above the national average
$141,000 to $250,000. Last updated April 2026.
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Data points to own the conversation.
The median Federated Learning Engineer salary in Ann Arbor is $190,000, 1% above the national average. Entry level starts near $141,000. Experienced professionals push past $250,000. Ann Arbor is a top-tier research hub anchored by the University of Michigan. That spread is your negotiation window.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $171,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$124,000
to $152,000
Mid (3-5 yrs)
$162,000
to $200,000
Senior (6-9 yrs)
$209,000
to $247,000
Lead (10+ yrs)
$238,000
to $295,000
Salary trend
+3% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $56,000 to the total package.
Base
$190,000
Equity
$32,000
Bonus
$20,000
Signing
$4,000
Estimated total: $246,000
How Ann Arbor compares
Ann Arbor, MI
$190,000
Cost of living: 2% above average
National Average
$188,000
Ann Arbor is $2,000 above
Federated Learning Engineer salary by city
Salary by role in Ann Arbor
What you should know
Before you negotiate a Federated Learning Engineer offer in Ann Arbor, understand the terrain. Ann Arbor is a top-tier research hub anchored by the University of Michigan. The city has a thriving startup ecosystem, strong automotive R&D presence, and growing AI and robotics sector. Toyota, Google, and numerous autonomous vehicle companies have offices here. 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 Ann Arbor, 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: michigan has a flat 4.25% income tax. Ann Arbor has a city income tax of 1% for residents. The moderate combined rate is offset by the strong employer base and research ecosystem. When someone quotes you $190,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Leverage the autonomous vehicle and robotics corridor. Ann Arbor employers pay nationally competitive rates for AI, robotics, and automotive engineering talent. The range for Federated Learning Engineers in Ann Arbor runs from $141,000 to $250,000. 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 Ann Arbor earns $189,000 (1% less)
- The highest-paying role in Ann Arbor is Distinguished Engineer at $330,000
Common questions.
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