Federated Learning Engineer.
New York.
$177,000
median salary, 33% above the national average
$132,000 to $232,000. Last updated August 2026.
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Data points to own the conversation.
The median Federated Learning Engineer salary in New York is $177,000, 33% above the national average. Entry level starts near $132,000. Experienced professionals push past $232,000. 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. 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.
Where do you fall?
Orbyt estimate for Federated Learning Engineer in New York, 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 $166,830 for Software Developers (SOC 15-1252) in the New York-Newark-Jersey City, NY-NJ metropolitan area, based on 121,000 employed workers (May 2025 release).
10th percentile
$101,690
25th percentile
$130,650
Median
$166,830
75th percentile
$205,970
90th percentile
$224,590
Workers surveyed
121,000
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 New York range at the top of this page is Orbyt’s role-level estimate, which is a different thing and is labelled as such. New York is reported by BLS within the New York-Newark-Jersey City, NY-NJ metropolitan area.
View the BLS source for SOC 15-1252Salary by experience.
The gap between entry and lead level is typically $159,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$115,000
to $142,000
Mid (3-5 yrs)
$150,000
to $186,000
Senior (6-9 yrs)
$195,000
to $230,000
Lead (10+ yrs)
$221,000
to $274,000
Total compensation.
Base salary is not the full picture. Equity, bonus, and signing can add $53,000 to the total package.
Base
$177,000
Equity
$30,000
Bonus
$19,000
Signing
$4,000
Estimated total: $230,000
How New York compares.
New York, NY
$177,000
Cost of living: 28% above average
National Average
$133,000
New York is $44,000 above
Federated Learning Engineer salary by city.
Salary by role in New York.
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 $177,000, 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 $132,000 to $232,000. 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
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Common questions.
Federated Learning Engineer salary in other cities.
Other salaries in New York.
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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, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/federated-learning-engineer/new-york
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