Skip to main content
Filing year 2024

THE SYSTEMS AND MACHINE LEARNING FOUNDATION

Indio, California·EIN 83-4448140·NTEE U03 · Science & Technology·501(c)(3)
Total revenue
$517k
Total assets
$756k
Total expenses
$267k
Reported officers
2
Mission

THE FOUNDATION FOSTERS RESEARCH EXCHANGE ON SYSTEMS AND MACHINE LEARNING RESEARCH IN BIOLOGICAL, TECHNOLOGICAL, MATHEMATICAL AND THEORETICAL ASPECTS. A CONTINUING SERIES OF PROFESSIONAL MEETINGS AND PUBLICATION OF ITS PROCEEDINGS.

Reported officers (all unpaid)

No paid executives reported in 2024. THE SYSTEMS AND MACHINE LEARNING FOUNDATION reported 2 unpaid officers and board members on its 990.

Treasurer
President
Financial trend

Revenue and expenses over time

THE SYSTEMS AND MACHINE LEARNING FOUNDATION reported revenue and expenses across 2 filing years.

RevenueExpenses
$349k
$400k
2023
$517k
$267k
2024
Total revenue and total expenses from IRS Form 990 filings.
Sector benchmark

What Science & Technology executives earn in California

THE SYSTEMS AND MACHINE LEARNING FOUNDATION reported no executive compensation in its latest filing. For context, the highest-paid executive at a comparable science & technology organization in California earns a median of $151,291.

25th percentile
$64k
Median
$151,291
75th percentile
$249k
90th percentile
$422k

These are science & technology sector-wide figures, not this organization's reported pay. Based on 203 organizations across 203 filings (2021 – 2024).

See full Science & Technology pay data for California
FAQ

Common questions about THE SYSTEMS AND MACHINE LEARNING FOUNDATION

What are THE SYSTEMS AND MACHINE LEARNING FOUNDATION's revenue and expenses?

In 2024, THE SYSTEMS AND MACHINE LEARNING FOUNDATION reported $517k in total revenue and $267k in total expenses on its IRS Form 990.

Free, forever
Build lists. Save your benchmarks.
A free Lucido account lets you build lists of nonprofits and save your search filters. No credit card.
Already a member? Sign in
Build a benchmark

Compare any role, sector, or revenue band

Build your own benchmark from millions of reported positions.