Mgr I- Tech Dev

BAE Systems is looking for a Technology Development Manager who will perform as the Emerging Machine Learning Analytics Section Lead within the Special Activity Exploitation (SAX) research group. SAX is a cutting-edge, multidisciplinary research and engineering organization that is the TS lead for invention and application of innovative machine learning, control, and optimization approaches to learn patterns of behavior from a wide range of data sources, including real-time sensor feeds. Exploitation uses of these behavioral models include anomaly and change detection, prediction of future behavior, and recognition of complex events and activities. Applications of our technology include terrestrial, maritime, and space domains over a range of sensing modalities (e.g., radar, full motion video, radio communication) spanning the technology readiness spectrum from basic research through fielded operational systems. Our cutting edge projects and opportunities advance the frontiers of science as well as contributing to practical systems that solve real problems.

The Emerging Machine Learning Analytics Section Lead will shape and lead the SAX business and technical strategies to expand and mature a portfolio of technology development efforts across DARPA, IARPA, DoD and the IC that push the state of the art in machine learning and autonomous adaptive analytics. Grow and manage a team of 5 – 10 research engineers while also providing direct technical support to customers and internal SAX sections supporting IC and DoD customers.

Our ideal candidate is a strong entrepreneur who can develop novel adaptive incremental data-driven model learning and exploitation algorithms, present those ideas to colleagues and customers, write winning proposals, and then execute projects when awarded. You must have a desire to create and/or sustain lines of research by participating in proposal writing and other marketing efforts with research funding agencies such as DARPA. Typically our project workflow involves: (1) researching solutions developed in-house or published in scientific literature to determine applicability and identify strengths and weaknesses; (2) creating prototypes (typically in MATLAB) to support demonstration and evaluation of key algorithmic ideas on (often real) data; and (3) developing robust, real-time implementations suitable for target hardware/software environments. You must be able to: (1) provide research and technical leadership as well as hands-on algorithm design, implementation, and evaluation; (2) quickly adapt to changing requirements; and (3) be involved in all workflow stages. Ultimately, you would be leading a team of dedicated research engineers to execute your vision of the program you developed!


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