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Federated Learning Engineer.

Los Angeles.

$155,000

median salary, 17% above the national average

$116,000 to $203,000. Last updated August 2026.

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Data points to own the conversation.

If you are evaluating a Federated Learning Engineer offer in Los Angeles, CA, here is the reality: $116,000 to $203,000, with $155,000 as the midpoint. 17% above the national average. This privacy-preserving AI specialization commands premiums driven by regulatory demand and technical complexity. Do not accept the first number. 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.

25th Percentile

$116,000

per year

Median

$155,000

per year

75th Percentile

$203,000

per year

Where do you fall?

$116,000$203,000

Orbyt estimate for Federated Learning Engineer in Los Angeles, 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 $160,920 for Software Developers (SOC 15-1252) in the Los Angeles-Long Beach-Anaheim, CA metropolitan area, based on 55,540 employed workers (May 2025 release).

10th percentile

$98,270

25th percentile

$127,530

Median

$160,920

75th percentile

$191,540

90th percentile

$223,150

Workers surveyed

55,540

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 Los Angeles range at the top of this page is Orbyt’s role-level estimate, which is a different thing and is labelled as such.

View the BLS source for SOC 15-1252

Salary by experience.

The gap between entry and lead level is typically $139,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$101,000

to $124,000

Mid (3-5 yrs)

$132,000

to $163,000

Senior (6-9 yrs)

$171,000

to $202,000

Lead (10+ yrs)

$194,000

to $240,000

Total compensation.

Base salary is not the full picture. Equity, bonus, and signing can add $45,000 to the total package.

Base

$155,000

Equity

$26,000

Bonus

$16,000

Signing

$3,000

Estimated total: $200,000

How Los Angeles compares.

Los Angeles, CA

$155,000

Cost of living: 18% above average

National Average

$133,000

Los Angeles is $22,000 above

Federated Learning Engineer salary by city.

Federated Learning Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$189,000$141,000 to $247,0001.38x$137,000
San Francisco, CA$183,000$136,000 to $240,0001.35x$136,000
New York, NY$177,000$132,000 to $232,0001.28x$138,000
Washington DC, DC$173,000$129,000 to $226,0001.25x$138,000
Honolulu, HI$171,000$127,000 to $224,0001.30x$132,000
Boston, MA$169,000$126,000 to $221,0001.22x$139,000
Seattle, WA$167,000$124,000 to $218,0001.24x$135,000
San Diego, CA$159,000$118,000 to $208,0001.17x$136,000
Los Angeles, CA$155,000$116,000 to $203,0001.18x$131,000
Newark, NJ$151,000$112,000 to $197,0001.18x$128,000

See all 81 cities for Federated Learning Engineer →

Salary by role in Los Angeles.

Salary comparison by role in Los Angeles
RoleMedianRange
CTO$368,000$287,000 to $479,000
General Counsel$327,000$255,000 to $425,000
CEO$321,000$234,000 to $444,000
Federated Learning Engineer$155,000$116,000 to $203,000
NLP Engineer$155,000$116,000 to $203,000
Speech Recognition Engineer$155,000$120,000 to $197,000
Software Engineer$155,000$120,000 to $197,000
Generative AI Developer$155,000$116,000 to $203,000

What you should know.

Here is what the Federated Learning Engineer market actually looks like in Los Angeles. Los Angeles blends a thriving entertainment industry with a growing tech and startup ecosystem, often called Silicon Beach. The city's diverse economy spans aerospace, healthcare, fashion, and gaming. LA offers strong salaries that, while below San Francisco levels, pair with a broader lifestyle appeal and lower housing costs relative to the Bay Area. 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 Los Angeles, those numbers run higher. The cost of living here is 18% 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: california's 13.3% top state income tax rate applies to LA earners as well. There is no city income tax, but the high state rate makes take home pay lower than cities in no income tax states. When someone quotes you $155,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Highlight cross industry skills. LA employers value candidates who bridge entertainment and tech, so framing your experience across verticals can unlock higher offers. The range for Federated Learning Engineers in Los Angeles runs from $116,000 to $203,000. 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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Is your offer competitive?

Enter your Federated Learning Engineer offer to see where you stand in Los Angeles.

$

25th

$116,000

Median

$155,000

75th

$203,000

Considering a related role?

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.

In 2026, the average Federated Learning Engineer salary in Los Angeles, CA is $155,000. The estimated range runs from $116,000 to $203,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

In Los Angeles, large enterprises typically pay Federated Learning Engineers 10 to 20% more in base salary than small companies, but startups often compensate with equity that can exceed base salary value. Total packages range from $220,000 to $420,000 with equity, privacy compliance bonuses, and research incentives of 12 to 22% of base. The $116,000 to $203,000 range reflects this entire spectrum.

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. In Los Angeles's market, the base range of $116,000 to $203,000 is just the starting point for negotiation.

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. In Los Angeles, these factors can push compensation from $116,000 to $203,000 or beyond.

Federated Learning Engineer salary in other cities.

Other salaries in Los Angeles.

Jump to nearby roles and cities most relevant to Federated Learning Engineers in Los Angeles.

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"Federated Learning Engineer Salary in Los Angeles, CA." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/federated-learning-engineer/los-angeles

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