Job description

Are you driven to build technology that directly contributes to our nation’s security—and eager to apply machine learning and computer vision to solve complex, real-world intelligence challenges? At Expedition Technology (EXP), we’re developing advanced capabilities that empower the Intelligence Community and Department of Defense to analyze, fuse, and act on critical data in ways that matter. If you’re motivated by meaningful impact, technical rigor, and working on hard problems alongside highly collaborative teams, we’d love to talk. What you’ll do: As part of our team, you’ll contribute to cutting-edge efforts where we’re advancing AI/ML capabilities for geospatial intelligence, multi-modal data fusion, and hyperspectral imagery analysis. This is not purely theoretical work—you’ll help refine and operationalize systems that are already in use, improving performance, scalability, and real-world applicability. In this role, you will: • Develop and optimize machine learning and computer vision models, including support for hyperspectral imagery and multi-modal sensor data • Build algorithms for detection, tracking, and data fusion across complex datasets • Collaborate across small, multidisciplinary teams to translate research into deployable capabilities • Contribute to both algorithm development and software implementation, helping turn innovative approaches into mission-ready systems • Support solutions deployed across cloud and low size, weight, and power (SWaP) environments You’ll have the opportunity to work across multiple programs, applying your skills where they’re most impactful while growing your expertise in new domains. Who you are: We’re looking for engineers and researchers who are excited to work on challenging national security problems and want to contribute across both research and implementation. The ideal candidate brings: • Experience in machine learning, computer vision, or related AI/ML fields • Strong foundation in algorithm development and data-driven problem solving • Ability and willingness to write production-quality software in support of ML systems • Interest in working with geospatial, sensor, or hyperspectral data (experience is a plus, but not required) • A collaborative mindset and desire to contribute to a team where the whole is greater than the sum of its parts Clearance This role requires a Top Secret (TS) clearance and the ability to obtain SCI access. Candidates without an active SCI may still be considered and supported through the process. Candidates with an active TS/SCI are preferred. Compensation Salary Ranges by Career Level: Early-career: $95,600 - $147,200 Mid-career: $130,300 - $209,900 Late-career: $154,600 - $242,900 We recognize that every candidate brings a unique combination of experience and expertise. This position may be filled at multiple career levels , and compensation within the posted range will be determined based on relevant experience, education, technical expertise, specialized skills, the level at which the position is filled , and other job-related considerations.

Requirements

Must-haves

Are you driven to build technology that directly contributes to our nation’s security—and eager to apply machine learning and computer vision to solve complex, real-world intelligence challenges?
Develop and optimize machine learning and computer vision models, including support for hyperspectral imagery and multi-modal sensor data
Build algorithms for detection, tracking, and data fusion across complex datasets
Collaborate across small, multidisciplinary teams to translate research into deployable capabilities
Contribute to both algorithm development and software implementation, helping turn innovative approaches into mission-ready systems
Support solutions deployed across cloud and low size, weight, and power (SWaP) environments
You’ll have the opportunity to work across multiple programs, applying your skills where they’re most impactful while growing your expertise in new domains.
We’re looking for engineers and researchers who are excited to work on challenging national security problems and want to contribute across both research and implementation. The ideal candidate brings:
Experience in machine learning, computer vision, or related AI/ML fields
Strong foundation in algorithm development and data-driven problem solving
Ability and willingness to write production-quality software in support of ML systems
A collaborative mindset and desire to contribute to a team where the whole is greater than the sum of its parts
Early-career: $95,600 - $147,200
Mid-career: $130,300 - $209,900
Late-career: $154,600 - $242,900

Nice-to-haves

Interest in working with geospatial, sensor, or hyperspectral data (experience is a plus, but not required)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaiml

Platform: gem
Effort: medium

Benefits

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