Leidos is looking for a Machine Learning (ML) Algorithms Research Engineer to join our Electronic Warfare (EW) division. The candidate will research, develop, and implement new machine learning algorithms to support the division's Cognitive EW business area, which leverages state of the art ML concepts for implementation across the RF domain (e.g., cognitive communications, radar, electronic warfare (EW), spectrum sensing, SIGINT) .
The Leidos EW Division performs on programs that include advanced signal processing, machine learning, optimization, detection & estimation, deep learning, and adaptive decision and control.
Designs and develops methods, algorithms, and systems that apply machine learning technologies to support advanced electronic warfare concepts.
Works and leads cross-discipline engineering teams in order to develop, integrate, test, and field Cognitive Electronic Warfare systems.
Support business capture activities and proposals through technical contributions in the areas of machine learning, advanced signal processing, radar, and electronic warfare.
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
Strong and confident communication/presentation skills
An active US Secret clearance is required
Bachelor's Degree in Electrical Engineering, Applied Math, Computer Science / Machine Learning, or similar field
The ideal candidate will have a Master's Degree in Electrical Engineering, Applied Math, Computer Science / Machine Learning, or similar field or a Bachelor's Degree and 4 plus years of relevant demonstrated technical research.