Leidos is looking to hire machine learning and signal processing engineers to work on state-of-the-art research and development problems, primarily focused on remote sensing applications. The goal is to transform image and signal data into actionable information by developing algorithms for detection, tracking, data fusion, and classification.
Requirements
- 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 Scikit-Learn, PyTorch, etc.
- 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
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
Other
- 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
- 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.
