Machine Learning Signal Processing Engineer
Machine Learning Signal Processing Engineer
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$ 67600 - 122200
1 Vacancy
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 stateoftheart research and development problems Leidos currently has two exciting openings for machine learning and signal processing engineers to work in our Ann Arbor Michigan or 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 (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 projects 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 inperson collaboration however we offer flexible inoffice 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 stateoftheart AI/ML tools and methods to improve performance of ATR systems
Provide technical leadership for tasks and programs
Basic Qualifications
Bachelors degree with 2 years or Masters degree with experience in Computer Science Electrical Engineer Physics or Applied Mathematics.
Strong programming ability in Python and/or C/C for Linux enviroments
Knowledge of code configuration control
Familiarity with common machine and deep learning packages such as ScikitLearn 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 bistatic Synthetic Aperture Radar (SAR) and/or Synthetic Aperture Lidar (SAL) data and sensor systems
Experience developing computer vision applications
Experience with multisensor data fusion
LInC
Electronic Warfare
Original Posting:
December 20 2024For U.S. Positions: While subject to change based on business needs Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $67600.00 $122200.00The 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.
Employment Type
Full-Time
