Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Reads like a ML Engineer role: putting models into production.
Fairfax, VA
Live, first seen by us 32 days agoAll Riverside Research opportunities require US Citizenship
Lead multi-sensor exploitation across EO, IR, SAR, and multispectral collections
Develop analytic algorithms and models for detection, classification, and change analysis
Integrate ML/AI capabilities into exploitation pipelines
Prepare and deliver technical briefings and reports to senior customers
Provide direct mentorship to analysts, data scientists, and junior staff
Lead multi-sensor exploitation efforts across EO, IR, SAR, multispectral, and specialized collections.
Develop advanced analytic algorithms and models for detection, classification, change analysis, and data fusion.
Integrate ML/AI capabilities into exploitation pipelines, coordinating with engineering, R&D, and mission partners.
Prepare and deliver technical briefings, analytical reports, and capability demonstrations to senior customers.
Provide direct mentorship to analysts, data scientists, and junior exploitation personnel.
Bachelor’s degree or higher in Data Science, Remote Sensing, Image Science, Physics, Electrical Engineering, a related field, or equivalent experience.
7+ years of experience in GEOINT exploitation, analytic modeling, or advanced image science.
Strong proficiency in Python, MATLAB, or similar analytical programming languages.
Experience developing machine learning or statistical models for imagery exploitation or intelligence workflows.
Hands-on expertise with common exploitation tools, including ENVI/IDL, ArcGIS, ERDAS, GDAL, or relevant sensor-specific toolsets.
Demonstrated ability to lead technical teams and guide analytic development.
Experience with multi-sensor fusion, hyperspectral analysis, or advanced phenomenology-driven modeling.
Familiarity with cloud environments, data orchestration frameworks, or large-scale data architectures.
Experience supporting R&D, prototype evaluation, or system integration efforts.
Excellent communication skills and the ability to engage with senior customers.
Required Qualifications - Bachelor’s degree or higher in Data Science, Remote Sensing, Image Science, Physics, Electrical Engineering, a related field, or equivalent experience. - 7+ years of experience in GEOINT exploitation, analytic modeling, or advanced image science.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Day 32
Similar jobs usually come down between day 6 and day 70.
Well past Riverside Research Institute’s usual: its jobs come down by about day 8.
From 4,444 similar postings that came down, and 5 of Riverside Research Institute’s. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 7+ years of experience in GEOINT exploitation, analytic modeling, or advanced image science. - Strong proficiency in Python, MATLAB, or similar analytical programming languages. - Experience developing machine learning or statistical models for imagery exploitation or intelligence workflows.
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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Riverside Research is seeking an experienced Exploitation Scientist / Data Scientist to lead the development, integration, and delivery of advanced GEOINT exploitation capabilities in Falls Church VA. This role combines deep expertise in sensor phenomenology, data science, analytical modeling, and exploitation tradecraft. The Senior Exploitation Scientist will guide multi-sensor workflows, design new analytic methods, mentor junior staff, and collaborate directly with government partners to enhance intelligence production for DoD and Intelligence Community missions.
Lead multi-sensor exploitation efforts across EO, IR, SAR, multispectral, and specialized collections.
Develop advanced analytic algorithms and models for detection, classification, change analysis, and data fusion.
Apply data science methodologies—including statistical modeling, machine learning, and automation—to improve exploitation accuracy and efficiency.
Perform deep-dive image science analyses, sensor performance evaluations, and phenomenology-driven characterization.
Design and refine data workflows, ensuring reproducible processing, metadata consistency, and high-quality data governance.
Integrate ML/AI capabilities into exploitation pipelines, coordinating with engineering, R&D, and mission partners.
Prepare and deliver technical briefings, analytical reports, and capability demonstrations to senior customers.
Lead the development of SOPs, analytic standards, and documentation for multi-mission exploitation operations.
Provide direct mentorship to analysts, data scientists, and junior exploitation personnel.
Coordinate with collection managers, system developers, and intelligence stakeholders to optimize tasking strategies and analytical impact.
Ensure timely delivery of mission-critical GEOINT products supporting operational and strategic decision-making.
Perform other duties as assigned.
Bachelor’s degree or higher in Data Science, Remote Sensing, Image Science, Physics, Electrical Engineering, a related field, or equivalent experience.
7+ years of experience in GEOINT exploitation, analytic modeling, or advanced image science.
Strong proficiency in Python, MATLAB, or similar analytical programming languages.
Experience developing machine learning or statistical models for imagery exploitation or intelligence workflows.
Hands-on expertise with common exploitation tools, including ENVI/IDL, ArcGIS, ERDAS, GDAL, or relevant sensor-specific toolsets.
Demonstrated ability to lead technical teams and guide analytic development.
Strong understanding of DoD/IC data standards, mission priorities, and production workflows.
Active TS or higher security clearance.
Experience with multi-sensor fusion, hyperspectral analysis, or advanced phenomenology-driven modeling.
Familiarity with cloud environments, data orchestration frameworks, or large-scale data architectures.
Experience supporting R&D, prototype evaluation, or system integration efforts.
GEOINT-related certifications or recognized technical publications.
Excellent communication skills and the ability to engage with senior customers.
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Fairfax, VA
Required Qualifications - Bachelor’s degree or higher in Data Science, Remote Sensing, Image Science, Physics, Electrical Engineering, a related field, or equivalent experience. - 7+ years of experience in GEOINT exploitation, analytic modeling, or advanced image science.
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 Riverside Research is seeking an experienced Exploitation Scientist / Data Scientist to lead the development, integration, and delivery of advanced GEOINT exploitation capabilities in Falls Church VA. This role combines deep expertise in sensor phenomenology, data science, analytical modeling, and exploitation tradecraft. The Senior Exploitation Scientist will guide multi-sensor workflows, design new analytic methods, mentor junior staff, and collaborate directly with government partners to enhance intelligence production for DoD and Intelligence Community missions.
- Strong understanding of DoD/IC data standards, mission priorities, and production workflows. - Active TS or higher security clearance. Desired Qualifications