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  1. Home/
  2. Salaries/
  3. Federated Learning Engineer/
  4. Philadelphia

Federated Learning Engineer.

Philadelphia.

$197,000

median salary, 5% above the national average

$146,000 to $260,000. Last updated April 2026.

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Data points to own the conversation.

The median Federated Learning Engineer salary in Philadelphia is $197,000, 5% above the national average. Entry level starts near $146,000. Experienced professionals push past $260,000. Philadelphia combines a robust healthcare and life sciences sector with established finance and higher education institutions. That spread is your negotiation window.

Salary range

25th Percentile

$146,000

per year

Median

$197,000

per year

75th Percentile

$260,000

per year

Where do you fall?

$146,000$260,000

Salary by experience

The gap between entry and lead level is typically $177,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$128,000

to $158,000

Mid (3-5 yrs)

$167,000

to $207,000

Senior (6-9 yrs)

$217,000

to $256,000

Lead (10+ yrs)

$246,000

to $305,000

Salary trend

+3% YoY
$175,000
2022
$180,000
2023
$186,000
2024
$191,000
2025
$197,000
2026

Total compensation

Base salary is not the full picture. Equity, bonus, and signing can add $58,000 to the total package.

Base

$197,000

Equity

$33,000

Bonus

$21,000

Signing

$4,000

Estimated total: $255,000

How Philadelphia compares

Philadelphia, PA

$197,000

Cost of living: 9% above average

National Average

$188,000

Philadelphia is $9,000 above

Federated Learning Engineer salary by city

Federated Learning Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$267,000$199,000 – $353,0001.38x$193,000
San Francisco, CA$259,000$193,000 – $341,0001.35x$192,000
New York, NY$250,000$186,000 – $330,0001.28x$195,000
Washington DC, DC$244,000$182,000 – $322,0001.25x$195,000
Honolulu, HI$242,000$180,000 – $319,0001.30x$186,000
Boston, MA$239,000$178,000 – $315,0001.22x$196,000
Seattle, WA$235,000$175,000 – $311,0001.24x$190,000
San Diego, CA$224,000$167,000 – $296,0001.17x$191,000
Los Angeles, CA$220,000$164,000 – $290,0001.18x$186,000
Philadelphia, PA$197,000$146,000 – $260,0001.09x$181,000

See all 30 cities for Federated Learning Engineer →

Salary by role in Philadelphia

Salary comparison by role in Philadelphia
RoleMedianRange
Chief AI Officer$341,000$253,000 – $440,000
Chief Technology Officer$329,000$244,000 – $431,000
Chief Data & AI Officer$322,000$240,000 – $420,000
Director of Marketing$198,000$150,000 – $256,000
Real-Time AI Engineer$198,000$150,000 – $259,000
Federated Learning Engineer$197,000$146,000 – $260,000
Machine Learning Researcher$197,000$146,000 – $260,000
AI Red Teamer$197,000$146,000 – $260,000

What you should know

If you are interviewing for Federated Learning Engineer roles in Philadelphia, here is what you are walking into. Philadelphia combines a robust healthcare and life sciences sector with established finance and higher education institutions. The city's pharmaceutical corridor is among the strongest in the country. Tech growth has accelerated, particularly in health tech and enterprise software, offering salaries that stretch further than in nearby New York. 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 Philadelphia, 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: pennsylvania has a flat 3.07% state income tax, but Philadelphia adds a 3.75% city wage tax for residents. This combined local burden is worth factoring into salary negotiations. When someone quotes you $197,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Account for the Philadelphia wage tax in your ask. Request a 5 to 8% premium over suburban offers to offset the city's local tax on all earned income. The range for Federated Learning Engineers in Philadelphia runs from $146,000 to $260,000. 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

Interactive

Is your offer competitive?

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

$

25th

$146,000

Median

$197,000

75th

$260,000

Considering a related role?

  • A ML Engineer in Philadelphia earns $196,000 (1% less)
  • The highest-paying role in Philadelphia is Chief AI Officer at $341,000

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 Philadelphia, these factors can push compensation from the 25th percentile of $146,000 to the 75th percentile of $260,000 or beyond.

In 2026, the average Federated Learning Engineer salary in Philadelphia, PA is $197,000. The 25th percentile sits at $146,000 and the 75th percentile reaches $260,000. 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 Philadelphia employers offer location adjusted pay, while others maintain local rates to attract in office talent. In Philadelphia's moderate cost market, remote and local salaries are converging. The $146,000 to $260,000 range reflects both arrangements.

Federated Learning Engineer salary in other cities

Austin$199,000
Atlanta$194,000
Anchorage$212,000
Albuquerque$159,000
Boston$239,000
Birmingham$152,000

Other salaries in Philadelphia

Knowledge Graph Engineer$187,000
Licensed Practical Nurse$56,000
Logistics Coordinator$59,000
Legal Operations Manager$129,000

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"Federated Learning Engineer Salary in Philadelphia, PA." Orbyt Salary Explorer, April 2026. https://www.orbytjobs.ai/salaries/federated-learning-engineer/philadelphia

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