Federated Learning Engineer.
Sioux Falls.
$161,000
median salary, 14% below the national average
$120,000 to $213,000. Last updated April 2026.
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Data points to own the conversation.
Federated Learning Engineer pay in Sioux Falls ranges from $120,000 to $213,000 in 2026. The median is $161,000, 14% below the national average. Sioux Falls is South Dakota's largest city and a growing financial services hub, home to major credit card operations for Citibank and Wells Fargo. Every dollar in that range is negotiable if you come prepared.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $145,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$105,000
to $129,000
Mid (3-5 yrs)
$137,000
to $169,000
Senior (6-9 yrs)
$177,000
to $209,000
Lead (10+ yrs)
$201,000
to $250,000
Salary trend
+3% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $47,000 to the total package.
Base
$161,000
Equity
$27,000
Bonus
$17,000
Signing
$3,000
Estimated total: $208,000
How Sioux Falls compares
Sioux Falls, SD
$161,000
Cost of living: 15% below average
National Average
$188,000
Sioux Falls is $27,000 below
Federated Learning Engineer salary by city
Salary by role in Sioux Falls
What you should know
Before you negotiate a Federated Learning Engineer offer in Sioux Falls, understand the terrain. Sioux Falls is South Dakota's largest city and a growing financial services hub, home to major credit card operations for Citibank and Wells Fargo. The city's no state income tax and very low cost of living create exceptional take home pay ratios. Healthcare and agriculture round out the economy. 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 Sioux Falls, your dollars stretch further. Cost of living runs 15% below the national average, which means even a median salary buys a stronger lifestyle.
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: south Dakota has no state income tax. Sioux Falls has no city income tax. This zero income tax environment is a major draw for high earners seeking maximum take home pay. When someone quotes you $161,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Use the zero income tax advantage in negotiations. Sioux Falls employers know this is a major recruiting tool and will frame compensation accordingly. The range for Federated Learning Engineers in Sioux Falls runs from $120,000 to $213,000. 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 Engineer in Sioux Falls earns $162,000 (1% more)
- The highest-paying role in Sioux Falls is Chief AI Officer at $253,000
Common questions.
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