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Applied Computer Vision Engineer (TS/SCI with CI Poly)
Summary by AIEngineer.careers
Applied Computer Vision Engineer (TS/SCI with CI Poly) is a Computer Vision Engineer role (full-time). with Vantor. in HERNDON, US. Compensation shown: $185K–$228K. Imported listing (source: localjobs.jobserve.com). Apply on the employer's site (localjobs.jobserve.com).
Imported listing (source: localjobs.jobserve.com) · Apply on localjobs.jobserve.com
HERNDON · US
$185K–$228K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from localjobs.jobserve.com
Vantor is seeking an Applied Computer Vision Engineer to work on the full stack of the CV workflow, from imagery data acquisition and standardization to model development, testing, and deployment. The role focuses on applying novel CV models to commercial and government GEOINT data, including exploring synthetic and generative AI data. This position requires a TS/SCI clearance with CI Polygraph eligibility and U.S. citizenship.
Responsibilities
- Experiment with novel CV models applied to commercial and government GEOINT data
- Design, develop, and deploy multiple CV pipeline components (e.g., image preprocessing, inferencing engine, data store)
- Explore and understand how synthetic data and generative AI data can be applied to GEOINT data
- Perform data engineering to transform various data types to support AI/ML workflows
- Stay updated on recent CV technical advances and apply them to customer mission problems
- Brief internal teams on delivery progress, evaluation results, and project challenges
Requirements
- US citizenship and a current TS/SCI clearance (with willingness to get a CI Polygraph)
- B.S. in Data Science, Engineering, Math, Physics, Computer Science, Image Science, or related field
Vantor
Westminster · US · 988+ employees
Vantor is a spatial intelligence and software company, formerly known as Maxar Intelligence, that specializes in Earth observation and automated geospatial analysis. The company focuses on fusing satellite, air, and ground sensor data to build a living digital replica of Earth for defense, intelligence, and commercial applications.
