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Job · Fairfax, VA

Mid-Level Software Engineer

Riverside Research Institute · Medical Research · $286.6M budget · 895 staff · Since 1967

Why Riverside Research Institute

FY2025 · Form 990Its mission and biggest programs, as filed

Supports and conducts scientific research.

  • The Institute engages in and supports scientific Research, on behalf of the u.s. Government and its agencies as well as the national Institute of health, on various classified and unclassified programs in a variety of areas including radar and cyber…$174.1M spent in FY2025

Before you apply

FY2024 · Form 990Independent: from IRS data, not the org
Pays its leaders
$259K–$1.1M
12 officers reported
Fine: from the org's Form 990.
Pt VII · Sec A
Budget
$168.6M
spent in FY2024
Fine: from the org's Form 990.
Pt I · Ln 18
Staff
895
employees
Fine: from the org's Form 990.
Pt I · Ln 5–6
Spent on programs
96%
of spending
Looks good: 96% of spending went to programs; 75% or more.
Pt IX · Ln 25 · col B
Surplus or deficit
+11%
of revenue, FY2024
Looks good: revenue was at least expenses in the latest filing.
Pt I · Ln 19
Cash reserves
9 mo
of spending, in cash and securities
Looks good: 8.8 months of spending in cash; 3 or more.
Pt X · Ln 1–2 · Pt I · Ln 18
Latest return
FY2024
latest Form 990
Looks good: the latest return is for FY2024, 2 tax years back; within 2 tax years.
IRS e-file
IRS status
501(c)(3)
tax-exempt since 1967
Looks good: listed by the IRS.
IRS BMF
Looks goodFineWorth a lookConcernTap a box for the reason.

About the role

The org's own posting, as written

Riverside Overview Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country’s most challenging technical problems. All Riverside Research opportunities require U.S. Citizenship.

Position Overview

As a Mid-Level Machine Learning/AI Software Engineer, you will be responsible for developing, implementing, and applying machine learning/AI algorithms and solutions to address complex challenges within defense applications. You will collaborate closely with cross-functional teams, including data scientists, software engineers, and defense analysts, to enhance the capabilities of our systems and support mission-critical operations. This position is located in our Fairfax, VA office or our Lexington, MA office.

Responsibilities

Develop, implement, and apply machine learning / AI algorithms - Design, implement, and optimize machine learning/AI models for various defense applications, including data analysis, pattern recognition, and predictive modeling. - Collaborate with data scientists to preprocess and analyze large datasets, ensuring high-quality training data for model development. - Develop scalable software solutions that integrate machine learning/AI algorithms into existing systems and workflows. - Conduct experiments to evaluate and refine model performance, ensuring reliability and accuracy. - Participate in the full software development lifecycle, including requirements gathering, design, implementation, testing, and documentation. - Stay current with advancements in machine learning/AI technologies and methodologies, applying best practices to enhance our projects. - Contribute to the preparation of technical reports and presentations for stakeholders.

Qualifications

Required Qualifications: - Current Secret clearance, ability to obtain a TS/SCI - Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or a related field. - 8-10 years of experience in software engineering with a focus on machine learning/AI and data analysis. - Proficient in programming languages such as Python, Java, or C++, with experience in machine learning/AI libraries (e.g., TensorFlow, PyTorch, Scikit-learn). - Strong understanding of machine learning/AI algorithms, statistical analysis, and data mining techniques. - Experience with data management tools and frameworks - Familiarity with software development methodologies (Agile, Scrum) and version control systems (Git). - Familiarity with cloud computing platforms (e.g., AWS, Azure) and deployment of machine learning/AI models in cloud environments. - Excellent problem-solving skills and the ability to work effectively in a team-oriented environment. - Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications: - Current TS/SCI…

Read the full posting

About Riverside Research Institute

From its Form 990

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