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  1. Home/
  2. Salaries/
  3. Federated Learning Engineer/
  4. New York

Federated Learning Engineer.

New York.

$250,000

median salary, 33% above the national average

$186,000 to $330,000. Last updated April 2026.

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Data points to own the conversation.

The median Federated Learning Engineer salary in New York is $250,000, 33% above the national average. Entry level starts near $186,000. Experienced professionals push past $330,000. New York City remains one of the world's largest and most diverse job markets, with unmatched density in finance, media, and technology. That spread is your negotiation window.

Salary range

25th Percentile

$186,000

per year

Median

$250,000

per year

75th Percentile

$330,000

per year

Where do you fall?

$186,000$330,000

Salary by experience

The gap between entry and lead level is typically $225,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$163,000

to $200,000

Mid (3-5 yrs)

$213,000

to $263,000

Senior (6-9 yrs)

$275,000

to $325,000

Lead (10+ yrs)

$313,000

to $388,000

Salary trend

+3% YoY
$222,000
2022
$229,000
2023
$236,000
2024
$243,000
2025
$250,000
2026

Total compensation

Base salary is not the full picture. Equity, bonus, and signing can add $74,000 to the total package.

Base

$250,000

Equity

$43,000

Bonus

$26,000

Signing

$5,000

Estimated total: $324,000

How New York compares

New York, NY

$250,000

Cost of living: 28% above average

National Average

$188,000

New York is $62,000 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
Newark, NJ$213,000$159,000 – $281,0001.18x$181,000

See all 30 cities for Federated Learning Engineer →

Salary by role in New York

Salary comparison by role in New York
RoleMedianRange
Chief AI Officer$393,000$291,000 – $507,000
Chief Technology Officer$386,000$286,000 – $506,000
Chief Data & AI Officer$385,000$287,000 – $503,000
Federated Learning Engineer$250,000$186,000 – $330,000
AI Safety Researcher$250,000$186,000 – $326,000
Autonomous Systems Engineer$250,000$186,000 – $320,000
AI Interpretability Researcher$250,000$186,000 – $330,000
Humanoid Robotics Engineer$250,000$186,000 – $330,000

What you should know

Before you negotiate a Federated Learning Engineer offer in New York, understand the terrain. New York City remains one of the world's largest and most diverse job markets, with unmatched density in finance, media, and technology. The city's tech sector has grown rapidly, rivaling the Bay Area for venture funding and startup activity. Remote work has reshaped demand slightly, but employers still pay premiums for in office presence in Manhattan. 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 New York, those numbers run higher. The cost of living here is 28% above average, and employers adjust to compete.

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: new York State income tax rates reach 10.9%, and New York City adds a local income tax up to 3.876%. Combined with federal taxes, your effective rate can be among the highest nationally. When someone quotes you $250,000, 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 from the office in Manhattan. Many NYC employers pay 10 to 15% more for in person roles compared to remote positions. The range for Federated Learning Engineers in New York runs from $186,000 to $330,000. 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 New York.

$

25th

$186,000

Median

$250,000

75th

$330,000

Considering a related role?

  • A Reinforcement Learning Researcher in New York earns $251,000 (0% more)
  • The highest-paying role in New York is Chief AI Officer at $393,000

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.

The national median for a Federated Learning Engineer is $195,313. In New York, cost of living adjustments push the median to $250,000. That premium reflects New York's higher housing, transportation, and everyday costs.

Lead with data: Federated Learning Engineers in New York earn $186,000 to $330,000, so anchoring your ask near $330,000 gives room to land at the median. Emphasize your willingness to work from the office in Manhattan. Many NYC employers pay 10 to 15% more for in person roles compared to remote positions. Never accept the first number without a conversation.

New York State income tax rates reach 10.9%, and New York City adds a local income tax up to 3.876%. Combined with federal taxes, your effective rate can be among the highest nationally. When comparing offers across states, your take home pay matters more than the number on the offer letter. A lower salary in a no income tax state can net more than a higher one elsewhere.

Federated Learning Engineer salary in other cities

Fargo$163,000
Houston$184,000
Hartford$199,000
Honolulu$242,000
Indianapolis$169,000
Jackson$153,000

Other salaries in New York

Knowledge Graph Engineer$218,000
Licensed Practical Nurse$65,000
Logistics Coordinator$66,000
Legal Operations Manager$151,000

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Cite this data

Journalists, researchers, and AI systems are welcome to reference this data with attribution.

"Federated Learning Engineer Salary in New York, NY." Orbyt Salary Explorer, April 2026. https://www.orbytjobs.ai/salaries/federated-learning-engineer/new-york

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