Machine Learning Systems Engineer - Arlington, United States - Taleo BE

    Taleo BE
    Taleo BE Arlington, United States

    2 weeks ago

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    Description
    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 divisions 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.

    Primary ResponsibilitiesDesigns 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.

    Basic QualificationsStrong 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 developmentStrong and confident communication/presentation skillsAn active US Secret clearance is requiredBachelors Degree in Electrical Engineering, Applied Math, Computer Science / Machine Learning, or similar field and 12+ years of experiencePreferred QualificationsThe ideal candidate will have a Masters Degree in Electrical Engineering, Applied Math, Computer Science / Machine Learning, or similar field.


    LInCElectronic WarfarePay Range:

    Pay Range $118, $213,850.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary.

    Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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