Expedition Technology
A Machine Learning Engineer at Expedition Technology designs, prototypes, and deploys ML models and data pipelines for real-world defense and intelligence missions. The role focuses on processing temporal and geospatial data to enable advanced analytics and decision support in secure, cloud-native environments. Engineers must bridge the gap between research and production to operationalize models for mission-critical applications under tight timelines.
Headquarters
Herndon, Virginia, United States
Company Size
51-200 employees
Founded
2013
Expedition Technology is an applied AI and machine learning company focused on defense and intelligence missions, delivering research-to-deployment solutions for national security challenges. The company builds and fields systems across RF signal processing, computer vision, and space-based sensing, with named programs across agencies including DARPA, IARPA, ONR, and NGA. Their products — including GANNDALFR for RF MLOps, REALM for RF anomaly detection, and ACTOR for satellite signal verification — are designed to move from advanced research to operational deployment.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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and employee contacts for Expedition Technology.
Expedition Technology didn’t post a salary, so this is our estimate from similar listings.
Right around the average for this role