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AI/ML AiTR Specialist

Date: Jun 16, 2022

Location: Fort Belvoir, Virginia, US

Company: QinetiQ

Who Are We?

We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).

QinetiQ Inc.’s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ Inc. means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend. 

Why Join QinetiQ Inc.?

If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems.  In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ Inc. will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.

QinetiQ is seeking multiple experienced AI/ML Engineers with expertise in Aided Target Recognition (AiTR) to support the development of new C5ISR technology systems at our customer site in Fort Belvoir, VA. The selected applicants will be responsible for the following:


  • Support development of different AiTR system components to create an in-house complete AiTR system. Incorporate operator needs and feedback into the system design.
  • Assess vendors’ AiTR components that are separate from their object detection and recognition algorithm.
  • Design experiments to compare manual vs. AiTR-enhanced threat detection.
  • Develop real-time systems for AiTR demonstration with our sensor(s) and processing hardware. Includes interfacing with the sensor imagery, sensor metadata, and the AiTR system.
  • Package and deploy our in-house baseline AiTR for real-time testing and demonstration.
  • Develop tools/setups to support our programs (e.g., labeling tools, tools for experiments, AiTR-hardware demo setups).
  • Process large amounts of data for lab ingest, data labeling, and data sharing with other groups.
  • Organize data in our local RAID server and set up database for easy query and retrieval.
  • Plan and optimize data collections. Coordinate with the program and AiTR efforts.
  • Support processing and handling of collected data. Coordinate with AiTR efforts to determine priority data.


To Land This Job, You Need:


  • BS or higher degree in Data Science, Machine Learning, Electrical Engineering, Software Engineering, Computer Engineering, Computer Science, or applicable engineering or science field
  • Knowledge of AiTR system components (e.g., metadata contextual information, real-time object tracking, human systems interface).
  • Knowledge in Deep Learning, Classical ML, and Computer Vision.
  • Experience in training, testing, and deploying ML models, especially for Computer Vision applications.
  • 5-10 years’ experience designing, developing and implementing AI/ML algorithms to include 2D and 3D image mensuration and Overlay onto 3D Digital Maps, multispectral image fusion, Foveated smart imagery, scene change detection, facial intent, data labeling, semantic understanding and classification of dynamic scene and posing intent.
  • Knowledge of AiTR system components (e.g., metadata contextual information, real-time object tracking, human systems interface).
  • Knowledge/experience with operator’s workload for threat detection.
  • Strong coding skills in Python and/or C++.
  • Experience with Machine Learning and Computer Vision libraries (e.g., Pytorch, TensorFlow, Scikit-Learn, OpenCV).
  • Experience with image processing programming and theory.
  • Experience in software development.
  • Experience with Linux.
  • Experience with Docker.
  • Knowledge of optics and sensors (IR/HSI/LIDAR/etc.).
  • Experience collecting and processing imagery from sensors.
  • Experience with databases and a query language is a plus.


Clearance Level Must Currently Possess:

DOD Secret or Higher



No One Has Time for Long Job Applications!

We completely understand, that is why we have made the application process easy. We promise. This will be simple.


If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.

QinetiQ Inc. is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.