Federated Learning Engineer.
Baltimore.
$209,000
median salary, 11% above the national average
$156,000 to $276,000. Last updated April 2026.
Get the job.
Data points to own the conversation.
If you are evaluating a Federated Learning Engineer offer in Baltimore, MD, here is the reality: $156,000 to $276,000, with $209,000 as the midpoint. 11% above the national average. This privacy-preserving AI specialization commands premiums driven by regulatory demand and technical complexity. Do not accept the first number.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $188,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$136,000
to $167,000
Mid (3-5 yrs)
$178,000
to $219,000
Senior (6-9 yrs)
$230,000
to $272,000
Lead (10+ yrs)
$261,000
to $324,000
Salary trend
+3% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $62,000 to the total package.
Base
$209,000
Equity
$36,000
Bonus
$22,000
Signing
$4,000
Estimated total: $271,000
How Baltimore compares
Baltimore, MD
$209,000
Cost of living: 8% above average
National Average
$188,000
Baltimore is $21,000 above
Federated Learning Engineer salary by city
Salary by role in Baltimore
What you should know
Here is what the Federated Learning Engineer market actually looks like in Baltimore. Baltimore's economy is anchored by Johns Hopkins University and Hospital, one of the largest employers in the state. The city has strong cybersecurity, defense, and biotech sectors, benefiting from proximity to NSA, Fort Meade, and NIH. The port of Baltimore also drives significant logistics and trade employment. 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 Baltimore, 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: maryland's top income tax rate is 5.75%, and Baltimore City adds a local income tax of 3.2%. The combined burden is among the higher ones, but federal and defense salaries compensate. When someone quotes you $209,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: A security clearance is extremely valuable in the Baltimore corridor. Cleared professionals earn 20 to 30% more, and the NSA and defense contractor presence drives constant demand. The range for Federated Learning Engineers in Baltimore runs from $156,000 to $276,000. 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
Considering a related role?
- A LLM Fine-Tuning Engineer in Baltimore earns $208,000 (0% more)
- The highest-paying role in Baltimore is Chief AI Officer at $345,000
Common questions.
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