Machine Learning Signal Processing Engineer
IEEE Signal Processing Society
- United States
- United States
About
As a machine learning / signal processing engineer, you will apply your skills to a wide variety of problems and datasets, primarily focused on remote sensing (SAR/RF, acoustic, EO/IR, and LIDAR) applications. Current projects include, but are not limited to, detection, tracking, data fusion, and classification. We develop a variety of combat identification (CID) algorithms and specialize in technologies to train these systems on synthetic data. We are looking for a qualified candidate to bring technical excellence, leadership, entrepreneurship, and creativity to our programs. You will interact with customers, grow to lead technical project areas, and have the opportunity to pursue growth in new technologies. This position requires about three quarters of the job duties to be performed onsite due to the sensitive nature of this work and the desire for in‑person collaboration; however we offer flexible in‑office hours and the ability to perform some job duties remotely.
The opportunity to transform image and signal data into actionable information awaits!
Primary Responsibilities
Working with teams on the research, design, and development of sensor exploitation systems including signal processing, automatic target recognition, and signature modeling.
Collaborating with our customers to address challenging mission requirements by researching and developing new capabilities as well as making improvements to existing systems.
Rapidly and iteratively implement new algorithms to address these challenges.
Develop Automatic Target Recognition (ATR) algorithms using Python, MATLAB, C++, and other languages for real‑world applications. Leverage state‑of‑the‑art AI/ML tools and methods to improve performance of ATR systems.
Provide technical leadership for tasks and programs.
Basic Qualifications
Bachelor’s degree with 2+ years or Master’s degree with experience in Computer Science, Electrical Engineering, Physics, or Applied Mathematics.
Strong programming ability in Python and/or C/C++ for Linux environments.
Knowledge of code configuration control.
Familiarity with common machine and deep learning packages such as Scikit‑Learn, PyTorch, etc.
Ability to effectively communicate technical solutions to coworkers, teammates, and customers.
Active SECRET clearance or higher, with an ability to obtain a TS/SCI clearance.
US Citizenship Required.
Preferred Qualifications
Experience with Automatic Target Recognition algorithm development.
Experience working with monostatic or bi‑static Synthetic Aperture Radar (SAR) and/or Synthetic Aperture Lidar (SAL) data and sensor systems.
Experience developing computer vision applications.
Experience with multi‑sensor data fusion.
Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
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Languages
- English
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