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Machine Learning Signal Processing Engineer
Leidos Inc | |
United States, Beavercreek | |
Dec 03, 2023 | |
Description Job Description:Do you want to join a high performing team that values integrity, innovation, and collaboration with a company whose mission is to make the world safer, healthier, and more efficient through information technology, engineering and science? Are you interested making a difference by applying your machine learning and signal processing skills toward state-of-the-art research and development problems? Leidos currently has an exciting opening for a machine learning and signal processing engineer to work in our Beavercreek, Ohio office. 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 (Electronic Support Measures {ESM}, acoustic, RF, 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 systems for both air and ground targets 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, participate in and lead technical projects areas, and have the opportunity to pursue growth in new areas. This position requires most 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. Primary Responsibilities
Basic Qualifications:
Preferred Qualifications:
LInC Electronic Warfare Pay Range:Pay Range $97,500.00 - $150,000.00 - $202,500.00The Leidos pay range for this job level is a general guideline onlyand 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. |