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Federated Learning Engineer.

Detroit.

$121,000

median salary, 9% below the national average

$90,000 to $158,000. Last updated August 2026.

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Data points to own the conversation.

If you are evaluating a Federated Learning Engineer offer in Detroit, MI, here is the reality: $90,000 to $158,000, with $121,000 as the midpoint. 9% below the national average. This privacy-preserving AI specialization commands premiums driven by regulatory demand and technical complexity. Do not accept the first number. 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.

25th Percentile

$90,000

per year

Median

$121,000

per year

75th Percentile

$158,000

per year

Where do you fall?

$90,000$158,000

Orbyt estimate for Federated Learning Engineer in Detroit, 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 $130,760 for Software Developers (SOC 15-1252) in the Detroit-Warren-Dearborn, MI metropolitan area, based on 24,870 employed workers (May 2025 release).

10th percentile

$82,720

25th percentile

$101,850

Median

$130,760

75th percentile

$153,270

90th percentile

$167,490

Workers surveyed

24,870

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 Detroit 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 15-1252

Salary by experience.

The gap between entry and lead level is typically $109,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$79,000

to $97,000

Mid (3-5 yrs)

$103,000

to $127,000

Senior (6-9 yrs)

$133,000

to $157,000

Lead (10+ yrs)

$151,000

to $188,000

Total compensation.

Base salary is not the full picture. Equity, bonus, and signing can add $36,000 to the total package.

Base

$121,000

Equity

$21,000

Bonus

$13,000

Signing

$2,000

Estimated total: $157,000

How Detroit compares.

Detroit, MI

$121,000

Cost of living: 10% below average

National Average

$133,000

Detroit is $12,000 below

Federated Learning Engineer salary by city.

Federated Learning Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$189,000$141,000 to $247,0001.38x$137,000
San Francisco, CA$183,000$136,000 to $240,0001.35x$136,000
New York, NY$177,000$132,000 to $232,0001.28x$138,000
Washington DC, DC$173,000$129,000 to $226,0001.25x$138,000
Honolulu, HI$171,000$127,000 to $224,0001.30x$132,000
Boston, MA$169,000$126,000 to $221,0001.22x$139,000
Seattle, WA$167,000$124,000 to $218,0001.24x$135,000
San Diego, CA$159,000$118,000 to $208,0001.17x$136,000
Los Angeles, CA$155,000$116,000 to $203,0001.18x$131,000
Detroit, MI$121,000$90,000 to $158,0000.90x$134,000

See all 81 cities for Federated Learning Engineer →

Salary by role in Detroit.

Salary comparison by role in Detroit
RoleMedianRange
CTO$265,000$206,000 to $344,000
General Counsel$257,000$200,000 to $334,000
CEO$250,000$182,000 to $345,000
Federated Learning Engineer$121,000$90,000 to $158,000
AI Engineer$121,000$90,000 to $158,000
AI Safety Engineer$121,000$90,000 to $158,000
Generative AI Engineer$121,000$90,000 to $158,000
Simulation Engineer$121,000$94,000 to $154,000

What you should know.

Here is what the Federated Learning Engineer market actually looks like in Detroit. Detroit's economy is transforming as the automotive industry pivots to electric vehicles and autonomous driving technology. Ford, GM, and a growing cluster of mobility startups are investing billions in the region. The city's low cost of living paired with rising tech salaries makes it one of the highest purchasing power metros for engineering roles. 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 Detroit, 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% state income tax. Detroit adds a city income tax of 2.4% for residents. Factor the city tax into your calculations if living within city limits. When someone quotes you $121,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Highlight EV and autonomous vehicle expertise. Detroit employers are paying significant premiums for talent with electric vehicle, battery tech, or self driving experience. The range for Federated Learning Engineers in Detroit runs from $90,000 to $158,000. 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

Interactive

Is your offer competitive?

Enter your Federated Learning Engineer offer to see where you stand in Detroit.

$

25th

$90,000

Median

$121,000

75th

$158,000

Considering a related role?

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.

In 2026, the average Federated Learning Engineer salary in Detroit, MI is $121,000. The estimated range runs from $90,000 to $158,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

Detroit's economy is transforming as the automotive industry pivots to electric vehicles and autonomous driving technology. Ford, GM, and a growing cluster of mobility startups are investing billions in the region. For Federated Learning Engineers specifically, the median salary of $121,000 reflects that demand.

Entry level Federated Learning Engineer positions in Detroit typically start near $90,000. Candidates with relevant internships, certifications, or portfolio work often negotiate closer to the median of $121,000. ML engineers or privacy engineers earning $115,000 to $155,000 specialize into federated learning at $140,000 to $248,000.

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 Detroit, these factors can push compensation from $90,000 to $158,000 or beyond.

Federated Learning Engineer salary in other cities.

Other salaries in Detroit.

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"Federated Learning Engineer Salary in Detroit, MI." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/federated-learning-engineer/detroit

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