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  1. Home/
  2. Salary/
  3. Federated Learning Engineer/
  4. Chicago

Federated Learning Engineer.

Chicago.

$201,000

median salary, 7% above the national average

$150,000 to $265,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

The median Federated Learning Engineer salary in Chicago is $201,000, 7% above the national average. Entry level starts near $150,000. Experienced professionals push past $265,000. Chicago's economy is anchored by finance, manufacturing, and a rapidly expanding tech sector. That spread is your negotiation window.

Salary range

25th Percentile

$150,000

per year

Median

$201,000

per year

75th Percentile

$265,000

per year

Tap to place your salary

$150,000$265,000

How Chicago compares

Chicago, IL

$201,000

Cost of living: 7% above average

National Average

$188,000

Chicago is $13,000 above

What you should know

Before you negotiate a Federated Learning Engineer offer in Chicago, understand the terrain. Chicago's economy is anchored by finance, manufacturing, and a rapidly expanding tech sector. The city has become a major hub for fintech, enterprise SaaS, and e-commerce. With lower living costs than coastal cities and a deep talent pool from top universities, Chicago offers strong salary to cost of living ratios for professionals across industries. 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 Chicago, 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: illinois has a flat 4.95% state income tax. Chicago does not levy a separate city income tax, making the overall burden moderate compared to coastal metros. When someone quotes you $201,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Reference the Bay Area or NYC salary band for your role, then negotiate a modest discount. Chicago employers routinely offer 85 to 90% of coastal pay. The range for Federated Learning Engineers in Chicago runs from $150,000 to $265,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Top industries in Chicago

Financial ServicesManufacturingTechnologyHealthcareTransportation & Logistics

Negotiating in Chicago

Reference the Bay Area or NYC salary band for your role, then negotiate a modest discount. Chicago employers routinely offer 85 to 90% of coastal pay.

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.

Many Chicago employers are shifting toward skills based hiring for Federated Learning Engineer positions. While a degree can accelerate your path to the median salary of $201,000, demonstrated experience, certifications, and a strong portfolio carry significant weight. Candidates without degrees may start closer to $150,000 but can reach the 75th percentile with three to five years of proven results.

Lead with data: Federated Learning Engineers in Chicago earn $150,000 to $265,000, so anchoring your ask near $265,000 gives room to land at the median. Reference the Bay Area or NYC salary band for your role, then negotiate a modest discount. Chicago employers routinely offer 85 to 90% of coastal pay. Never accept the first number without a conversation.

The national median for a Federated Learning Engineer is $187,850. In Chicago, cost of living adjustments push the median to $201,000. That premium reflects Chicago's higher housing, transportation, and everyday costs.

Federated Learning Engineer salary in other cities

Kansas City$175,000
Los Angeles$222,000
Miami$211,000
Minneapolis$197,000
New York$241,000
Nashville$188,000

Other salaries in Chicago

Knowledge Graph Engineer$182,000
LLM Engineer$203,000
LLM Fine-Tuning Engineer$198,000
Licensed Practical Nurse$55,000

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