Senior Imagery Scientist - EO (TS/SCI)

Xcellent Technology
Springfield, United States of America
26 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Springfield, United States of America

Tech stack

Artificial Intelligence
Computer Vision
Geospatial Intelligence
Google Earth
Image Quality
Python
Matlab
Machine Learning
Performance Tuning

Job description

If you are passionate in helping define how NGA evaluates AI performance, establishes operational confidence, and ensures AI-enabled GEOINT capabilities are mission ready before they reach the analysts or the battlefield, send your resume directly to Lanchi Lai, ( [email protected] ).

Requirements

  • Current active Top Secret / SCI clearance with the willingness to obtain CI poly.
  • You've achieved an accomplishment of a PhD + 10 years / Master's degree + 13 / Bachelor's degree + 15 / Associate's degree + 16 / 18+ years of relevant experience.
  • You've gained deep expertise in EO collection systems, phenomenology, and image formation to properly evaluate AI performance as understanding how imagery is created, how sensors behave, and how environmental conditions affect what an algorithm 'sees'.
  • Strong experience evaluating AI/ML algorithms using operational EO datasets to support in assessing whether an algorithm performs reliably across the variability complexity of real-world GEOINT collection.
  • Experience exploiting EO imagery to determine occurrence and location of objects of interest (OOIs), in order to evaluate whether AI outputs are analytically meaningful.
  • Experience developing, testing, or evaluating analytic methodologies or algorithms to support methodology design, testing framework, and measurable performance standards.
  • Proficiency with Python, MATLAB, and/or Google Earth Engine as you will be handling large operational datasets, testing analytic workflows, and assessing model outputs.
  • Deep understanding of remote sensing principles and GEOINT tradecraft.
  • Experience applying image quality metrics and assessing environmental or sensor impacts in order to understand how haze, shadows, off-nadir angle, weather, compression, or sensor limitations affect algorithm confidence and reliability.

Desired

  • Experience with computer vision and machine learning applied to EO imagery

Benefits & conditions

At XTS, we believe in taking care of our employees as much as we take care of our clients. As a veteran-owned company, we understand the importance of community, service, and fostering a culture where each team member can thrive. Our commitment to employee well-being is reflected in the comprehensive benefits and growth opportunities we offer. We offer tailored health care plans that fit your lifestyle, along with dental and vision coverage, paid time off (PTO), and a 401K with employer matching to secure your financial future. As we push forward in the rapidly evolving field of AI, XTS is committed to providing employees with tools and opportunities to stay ahead. We are proud to offer our GeoAI scholarship to help our employees further develop their skills and expertise in this innovative field. We take pride in delivering elite workforces to the Intelligence Community, making a real-world impact on critical missions. Join us and experience a company that invests in your success and professional growth.

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