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Expedition Technology Tech Stack

AI and signal processing for defense intelligence systems

Defense and Space Manufacturing Herndon, VA 51–200 employees Founded 2013 Privately Held

Expedition Technology builds machine learning and signal processing solutions for U.S. defense and intelligence agencies. The tech stack—Python, PyTorch, TensorFlow, YOLOv8, and real-time RF data processing—reflects a computer vision and deep learning focus. Current project work centers on transitioning signal processing models to real-time systems, deploying foundation models customized for geospatial detection, and hardening ML models against adversarial attacks. The engineering-heavy hiring profile (14 of 16 active roles) with senior and lead-level gaps suggests scaling technical delivery while backfilling leadership capacity.

Tech Stack 20 technologies

Core StackPython React Docker PyTorch TensorFlow AWS Linux Java GitLab Kubernetes CloudFormation Git YOLOv8 Faster R-CNN DETR CLIP BLIP-2 Vision Transformer Azure CI/CD

What Expedition Technology Is Building

◆Challenges

Transitioning signal processing models to real-time
Portfolio execution challenges
Meeting financial targets
Adversarial attacks on overhead detection models
Novel geospatial object detection
Model robustness assessment
Counter-ai vulnerabilities
Verification and validation workflows
Deployment and automation efforts
Cleared cloud deployments

▲Active Projects

Integrate advanced machine learning and signal processing algorithms into cutting edge software solutions
Deployment automation pipelines
Transition signal processing-based machine learning models to real-time applications
Mission workflow services
Cloud-native application development
Verification and validation systems
Real-time machine learning systems on streaming rf data
Customizing foundation models
Assessing model robustness
Complex software solutions for defense agencies

Hiring Activity

Accelerating15 roles · 7 in 30d

Department

Engineering

14

Ops

2

Seniority

Senior

6

Mid

5

Intern

3

Lead

1

Principal

1

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About Expedition Technology

Expedition Technology is a privately held, employee-owned defense contractor headquartered in Herndon, VA, founded in 2013. The company serves U.S. defense and intelligence agencies with AI, machine learning, and signal processing capabilities—particularly in sensor systems, image analysis, and RF signal interpretation. Core technical competencies span computer vision (YOLO, Faster R-CNN, Vision Transformers), deep learning frameworks (PyTorch, TensorFlow), and real-time streaming ML. Recent project focus includes cloud-native deployments, model robustness evaluation under adversarial conditions, and mission-critical workflow automation. The organization is growing and actively hiring across engineering roles.

HeadquartersHerndon, VA

Company Size51–200 employees

Founded2013

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Expedition Technology use?

Primary: Python, PyTorch, TensorFlow, YOLOv8, Faster R-CNN, Vision Transformers. Infrastructure: AWS, Azure, Kubernetes, Docker, CloudFormation, GitLab, CI/CD. Also uses CLIP, BLIP-2, DETR for computer vision and Java for backend systems.

What is Expedition Technology working on?

Real-time machine learning on RF data, geospatial object detection, foundation model customization, adversarial robustness testing, deployment automation, and signal processing model transition to production. All work targets defense agency mission workflows and cloud-native deployment.