Imagery Scientist - SAR Middle -Job#778

Posted 8 Days Ago
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Springfield, VA, USA
In-Office
Entry level
Aerospace
The Role
Identify and acquire SAR imagery for NGA AI model accreditation. Analyze SAR imagery products, conduct multi-INT analysis, prepare imagery to required quality and standards, and develop solutions accounting for sensor and platform phenomenology. Use structured, unstructured, and semi-structured data with programming, scripting, visualization, and advanced geospatial techniques. Experience with machine learning algorithms for overhead or motion imagery is preferred.
Summary Generated by Built In

Imagery Scientist - SAR Middle 

Location: Springfield, VA / Washington Metro Area

 TS/SCI REQUIRED/Current CI Poly or Willing to take one Required

Allen Integrated Solutions is supporting NGA's Assurance and Governance Office (QA) Accreditation of AI Models (AGAIM) program. This position will identify and acquire imagery in support of Level 3 Accreditation—the application of the AI algorithm to operational imagery data sets. This position will serve as experts in your respective image modality and prepare imagery of the necessary quality, standards, and requirements. You will develop solutions that are informed by the specific phenomenology limitations and advantages of the sensors and platforms.

 Required Experience/Skills: 

  • Experience with SAR imagery analytical products and conducting multi-​INT analysis
  • Experience using unstructured, structured, and semi-structured data and visualization tools to exploit data through use of programming and scripting 
  • Experience applying advanced geospatial skills 

  Desired 

  • Experience working with or developing machine learning algorithms for exploiting overhead imagery and/or motion imagery

Skills Required

  • Top Secret/Sensitive Compartmented Information (TS/SCI) clearance
  • Current CI Polygraph or willingness to take a CI Polygraph
  • Experience with SAR imagery analytical products
  • Experience conducting multi-INT analysis
  • Experience using structured, unstructured, and semi-structured data and visualization tools through programming and scripting
  • Experience applying advanced geospatial skills
  • Experience working with or developing machine learning algorithms for overhead imagery or motion imagery
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The Company
HQ: Stafford, VA
30 Employees
Year Founded: 2015

What We Do

AIS is dedicated to providing exceptional technical and management services aimed at optimizing our client’s performance in the Federal, National Security, Department of Defense, and Homeland Security Mission Areas

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