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Machine Learning Research Engineer 1 - Cognitive Electronic Warfare

Leidos | Arlington VA 22246 USA | Full Time | Posted: 06/18/2019

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Job Description:

Leidos seeks a Machine Learning (ML) Algorithms Research Engineer, to join our Cognitive Electronic Warfare (COGEW) business area. The candidate will research & develop new, state-of-the-art machine learning algorithms and implement them across the RF domain (e.g., communications, radar, electronic warfare, spectrum sensing, and signals intelligence [SIGINT]), in both modelling and simulation environments and real time software embed systems. The candidate will also contribute to technology developments in signal processing, optimization, detection & estimation, deep learning, and adaptive decision and control. Requires basic knowledge of and ability to apply machine learning and radar/signal processing principles, theories, and concepts in support of direct programs, IR&D, and marketing efforts.

Primary Responsibilities
  • Designs and develops methods, algorithms, and systems that apply machine learning technologies to support advanced electronic warfare concepts.
  • Works within and leads cross-discipline engineering teams developing, integrating, testing and fielding Cognitive Electronic Warfare systems.
  • Supports business capture activities and proposals, by providing technical contributions in the areas of machine learning, advanced signal processing, radar, and electronic warfare.


Basic Qualifications
  • Strong experience with mathematical model tools and languages; such as MATLAB, Python, etc.
  • Experience in being part of a multi-disciplinary project team in research or development.
  • An active US Secret clearance is required
  • Bachelor's degree and up to 2 years of relevant demonstrated technical research experience.


Preferred Qualifications
  • Bachelor's Degree in Electrical Engineering, Applied Math, Computer Science / Machine Learning, or similar field and less than 2 years related experience.


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Location Arlington, VA, 22246, United States
Categories Information Technology

Location Maptop

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Job Code 4133562

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