Artificial Intelligence Jobs - Data Scientist, Artificial Intelligence/Machine Learning, 900

at MTEQ, Inc.
Location Lorton, VA
Date Posted March 21, 2020
Category Default
Job Type Full-time


Who Are We?

QinetiQ Inc. is an innovative C5ISR Systems and Technology leader. Our company is built on a foundation of advanced technology, systems engineering, rapid prototyping, and improved operational sensing. We work with the latest technological developments in government, industry, and academia, leveraging that knowledge to rapidly advance the state of the art, combining cutting edge sensor technology with innovative research in fields such as sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR). 

We are a world-class team of professionals that build Ground Systems, Solider Systems, Airborne Sensing and Processing Technologies and Integrated C2 solutions.  Our customers are always our number one priority and our mission is to empower and protect American Warfighters and Security Forces!

Your Contribution to Our Mission:

  • Providing technical leadership and coordination of all aspects of the image and data processing and exploitation and AI/ML algorithms generation and implementation on a wide range of imaging sensors to include EO-IR, Hyperspectral, SAR, LIDAR and LLL imaging.
  • Working with machine learning (ML) applications, developing models and software, familiarity with data structures, data and image analytics algorithms, computability, data complexity and computer architectures.
  • Analyze and trade various machine learning approaches, develop new algorithms tools, perform and manage end to end design and SW implementation and work with a team of various backgrounds and skills.
  • Track and coordinate all required annual program certifications and training

To Land This Job, You Need:

  • MS degree in Data Science, Machine Learning, Electrical Engineering, Software Engineering, Computer Engineering, Computer Science, or applicable engineering or science field
  • 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.
  • Experience/expertise designing, developing and implementing NN (Neural Networks), CNN (Convolutional Neural Networks), SVM (Support Vector Machines)
  • Experience/expertise with ML libraries/tools (e.g., scikit-learn, Theano, H2O, TensorFlow, YOLO, Shogun)
  • Experience/expertise with various programming/scripting languages and environments (e.g., C, C++, C#/.NET, Python, Anaconda, XML, Java, Open CV, SQL, Hadoop)
  • Experience/expertise applying mathematic principles via scientific computing solutions (e.g., NumPy, SciPy, MatPlotLib, MATLAB)
  • Experience leading technical teams and supervising highly technical staff

Clearance Level Must Be Able to Obtain:

DOD Secret

Why QinetiQ Inc.?

  • Your work will contribute to the protection of American Warfighters and Security Forces.
  • Opportunity to work with cutting edge technology.
  • Extensive opportunities for continuous learning, professional growth and advancement. 
  • We only hire the best!  No matter if you are entry or senior level, you will have the opportunity learn from some of the best in the industry.
  • We have fun!  We regularly have company events, from luncheons and costume contests to golf tournaments.
  • We care about YOU and YOUR FAMILY.  We offer competitive benefits and health insurance options.

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 [Click Here to Email Your Resumé] or call (540) 658-2720 Opt 4 and let us know the nature of your request and your contact information.