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  1. Home/
  2. Salary/
  3. Federated Learning Engineer/
  4. St. Louis

Federated Learning Engineer.

St. Louis.

$169,000

median salary, 10% below the national average

$126,000 to $223,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

The median Federated Learning Engineer salary in St. Louis is $169,000, 10% below the national average. Entry level starts near $126,000. Experienced professionals push past $223,000. St. That spread is your negotiation window.

Salary range

25th Percentile

$126,000

per year

Median

$169,000

per year

75th Percentile

$223,000

per year

Tap to place your salary

$126,000$223,000

How St. Louis compares

St. Louis, MO

$169,000

Cost of living: 10% below average

National Average

$188,000

St. Louis is $19,000 below

What you should know

If you are interviewing for Federated Learning Engineer roles in St. Louis, here is what you are walking into. St. Louis offers one of the most affordable major metro areas in the country, with a strong base in healthcare, financial services, and manufacturing. The region's anchor employers include Boeing, Centene, and Washington University's medical campus. A growing biotech and plant sciences corridor centered on the Cortex Innovation District is attracting new investment and talent. 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 St. Louis, 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: missouri's top income tax rate is about 4.8%, and St. Louis City adds a 1% earnings tax. The low base cost of living means your after tax salary still stretches further than in most metros. When someone quotes you $169,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Emphasize your willingness to work in person at Cortex or the BJC campus. St. Louis employers offer higher packages for candidates who commit to the local innovation hubs. The range for Federated Learning Engineers in St. Louis runs from $126,000 to $223,000. 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 St. Louis

HealthcareDefense & AerospaceFinancial ServicesPlant Sciences & BiotechManufacturing

Negotiating in St. Louis

Emphasize your willingness to work in person at Cortex or the BJC campus. St. Louis employers offer higher packages for candidates who commit to the local innovation hubs.

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.

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 St. Louis, these factors can push compensation from the 25th percentile of $126,000 to the 75th percentile of $223,000 or beyond.

In 2026, the average Federated Learning Engineer salary in St. Louis, MO is $169,000. The 25th percentile sits at $126,000 and the 75th percentile reaches $223,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

Remote work has compressed geographic salary premiums for Federated Learning Engineers. Some St. Louis employers offer location adjusted pay, while others maintain local rates to attract in office talent. In St. Louis's moderate cost market, remote and local salaries are converging. The $126,000 to $223,000 range reflects both arrangements.

Federated Learning Engineer salary in other cities

Houston$182,000
Indianapolis$171,000
Kansas City$175,000
Los Angeles$222,000
Miami$211,000
Minneapolis$197,000

Other salaries in St. Louis

Knowledge Graph Engineer$153,000
LLM Engineer$171,000
LLM Fine-Tuning Engineer$167,000
Licensed Practical Nurse$46,000

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