Federated Learning Specialist.
Albuquerque.
$144,000
median salary, 11% below the national average
$111,000 to $182,000. Last updated April 2026.
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Data points to own the conversation.
Here is what Federated Learning Specialists actually make in Albuquerque: $111,000 at the 25th percentile, $144,000 at the median, and $182,000 at the 75th. That is 11% below the national average. Albuquerque's economy is driven by Sandia and Los Alamos National Laboratories, Kirtland Air Force Base, and a growing film production industry. The number on your offer letter will depend on what you bring and how you ask.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $129,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$94,000
to $115,000
Mid (3-5 yrs)
$122,000
to $151,000
Senior (6-9 yrs)
$158,000
to $187,000
Lead (10+ yrs)
$180,000
to $223,000
Salary trend
+6% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $36,000 to the total package.
Base
$144,000
Equity
$20,000
Bonus
$13,000
Signing
$3,000
Estimated total: $180,000
How Albuquerque compares
Albuquerque, NM
$144,000
Cost of living: 12% below average
National Average
$162,000
Albuquerque is $18,000 below
Federated Learning Specialist salary by city
Salary by role in Albuquerque
What you should know
Before you negotiate a Federated Learning Specialist offer in Albuquerque, understand the terrain. Albuquerque's economy is driven by Sandia and Los Alamos National Laboratories, Kirtland Air Force Base, and a growing film production industry. The city offers affordable living and a strong pipeline of research and engineering jobs tied to national defense and energy programs. Compensation reflects the niche expertise in privacy-preserving distributed ML. Specialists who can implement federated learning systems that train models across devices or organizations without centralizing data earn significant premiums. Experience with differential privacy guarantees, secure aggregation protocols, and communication-efficient training is particularly valued.
Junior federated learning engineers start at $110,000 to $130,000. Mid-level specialists building production federated systems reach $150,000 to $180,000. Senior specialists designing cross-organization federated platforms earn $190,000 to $235,000. Research leads at privacy-focused AI companies can exceed $280,000 in total compensation. In Albuquerque, your dollars stretch further. Cost of living runs 12% below the national average, which means even a median salary buys a stronger lifestyle.
Base salary is not the full picture. Equity at privacy tech and health AI companies adds $25,000 to $80,000 annually. Bonuses of 12% to 18% are standard. Research publication incentives and compute budgets are generous. Conference travel to top privacy and ML venues is fully supported. And on the tax side: new Mexico's top income tax rate is 5.9%. Albuquerque has no city income tax. The moderate state rate and affordable housing create reasonable net compensation. When someone quotes you $144,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Highlight security clearance or national lab experience. Sandia and Los Alamos pay nationally competitive salaries with excellent federal benefits packages. The range for Federated Learning Specialists in Albuquerque runs from $111,000 to $182,000. 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 AI Ethics Officer in Albuquerque earns $145,000 (1% more)
- The highest-paying role in Albuquerque is Distinguished Engineer at $287,000
Common questions.
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