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  1. Home/
  2. Salary/
  3. Federated Learning Engineer/
  4. Boston

Federated Learning Engineer.

Boston.

$229,000

median salary, 22% above the national average

$171,000 to $303,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

Here is what Federated Learning Engineers actually make in Boston: $171,000 at the 25th percentile, $229,000 at the median, and $303,000 at the 75th. That is 22% above the national average. Boston's job market is powered by world class universities, a thriving biotech corridor, and established finance and healthcare sectors. The number on your offer letter will depend on what you bring and how you ask.

Salary range

25th Percentile

$171,000

per year

Median

$229,000

per year

75th Percentile

$303,000

per year

Tap to place your salary

$171,000$303,000

How Boston compares

Boston, MA

$229,000

Cost of living: 22% above average

National Average

$188,000

Boston is $41,000 above

What you should know

If you are interviewing for Federated Learning Engineer roles in Boston, here is what you are walking into. Boston's job market is powered by world class universities, a thriving biotech corridor, and established finance and healthcare sectors. The Kendall Square area is one of the most concentrated biotech hubs globally. Tech salaries in Boston are competitive with West Coast markets, particularly for roles that intersect with life sciences, AI, and robotics. 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 Boston, those numbers run higher. The cost of living here is 22% 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: massachusetts has a flat 5% income tax on most earnings, plus a 4% surtax on income above $1 million. There is no city income tax in Boston, keeping the total burden moderate. When someone quotes you $229,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Emphasize specialized credentials or advanced degrees. Boston employers, especially in biotech and finance, place a premium on educational pedigree and certifications. The range for Federated Learning Engineers in Boston runs from $171,000 to $303,000. 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 Boston

Biotech & Life SciencesHigher EducationFinancial ServicesHealthcareTechnology

Negotiating in Boston

Emphasize specialized credentials or advanced degrees. Boston employers, especially in biotech and finance, place a premium on educational pedigree and certifications.

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.

Boston's cost of living multiplier is 1.22x the national average. The adjusted median Federated Learning Engineer salary of $229,000 accounts for this. In practice, a Federated Learning Engineer earning $229,000 in Boston has roughly the same purchasing power as someone earning $187,705 in an average cost market.

Hiring for Federated Learning Engineers in Boston typically peaks in January through March and September through November. Companies finalize budgets in Q4 and open headcount in Q1. Boston's concentration of Biotech & Life Sciences and Higher Education employers creates steady year round demand. Time your search to align with budget cycles for maximum leverage.

The national median for a Federated Learning Engineer is $187,705. In Boston, cost of living adjustments push the median to $229,000. That premium reflects Boston's higher housing, transportation, and everyday costs.

Ask about equity structure, vesting schedule, annual bonus targets, 401(k) match, health insurance premiums, PTO policy, and remote flexibility. Total packages range from $220,000 to $420,000 with equity, privacy compliance bonuses, and research incentives of 12 to 22% of base. In Boston's market, these extras can add $57,250 or more on top of the base salary.

Federated Learning Engineer salary in other cities

Los Angeles$222,000
Miami$211,000
Minneapolis$197,000
New York$241,000
Nashville$188,000
Philadelphia$205,000

Other salaries in Boston

Knowledge Graph Engineer$207,000
LLM Engineer$232,000
LLM Fine-Tuning Engineer$226,000
Licensed Practical Nurse$62,000

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