Computer Vision Engineer - R136

United States·Herndonfull-timemid

Machine Learning EngineerData

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Quick Summary

Key Responsibilities

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.

Technical Tools

Machine Learning EngineerData

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.

Responsibilities

~1 min read

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.

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
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

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.