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Leidos · 10 hours ago

Machine Learning Research Scientist

Beavercreek, OH

Full-time

Hybrid

Mid, Senior Level

$108K/yr - $195K/yr

6+ years exp

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. They are seeking a Machine Learning Research Scientist to support remote sensing programs, applying skills to various datasets and working on algorithm development for sensor systems. The role involves technical leadership, collaboration with multidisciplinary teams, and the development of Automatic Target Recognition algorithms.

ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Provide technical leadership for tasks and programs

Working with teams on the research, design, and development of sensor exploitation systems including signal processing, automatic target recognition, and signature modeling

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

Rapidly and iteratively implement new algorithms to address these challenges

Collaborating with our customers to address challenging mission requirements by researching and developing new capabilities as well as making improvements to existing systems

Develop performance models and algorithms for new and/or existing target recognition solutions

Perform high-level software development functions using Python, PyToch, C++, Matlab, Java or similar languages including design, development, troubleshooting, and debugging software programs

Collaborate with other experts within the program and in the user community to design, develop, and debug existing software, and to design and develop enhancements that incorporate new capabilities into various components of the existing systems

Responsible for using sound software engineering principles to ensure that developed code is modifiable, efficient, reliable, understandable, fault tolerant, and reusable, including providing software process management and control throughout the coding portion of the software development process

Contribute to software development activities as a member of an agile team and actively participate in program increment planning, Feature and Story development, Sprint Planning, Demos, Iteration Retrospectives and related team activities

Provide inputs to test requests and reports, ensuring that all stated requirements and test objectives have been evaluated and the documented results adequately and accurately reflect the collected data and analysis conducted during the event

Author, design, and apply DOE and Combinatorial Testing (CT) to test case design

Qualification

Machine LearningAutomatic Target RecognitionPythonC++MATLABData FusionComputer VisionSignal ProcessingAgile MethodologiesSoftware DevelopmentTechnical CommunicationDocumentationTeam Collaboration

Required

Bachelor's degree with 8+ years of prior relevant experience or Masters with 6+ years of prior relevant experience. May possess a Doctorate in technical domain

Ability to effectively communicate technical solutions to coworkers, teammates, and customers

Familiarity with common machine and deep learning packages such as Scikit-Learn, PyTorch, etc

Experience developing computer vision applications

Strong programming ability in Python and/or C/C++ for Linux and windows environments

Significant experience and proficiency in Python and MATLAB

Familiarity with Linux and Windows operating systems

Strong background in machine learning, artificial intelligence, or data science

Creating and running unit test

Developing documentation

Develop and present technical/scientific literature and presentations to customer stakeholders, conferences and community workgroup meetings

Active SECRET clearance or higher, with an ability to obtain a TS/SCI clearance

US citizenship required

Preferred

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 with multi-sensor data fusion

Background with multi-statics radar research and development

Familiarity with Gitlab and/or Jira - issue tracking and agile project management, or similar tool

Experience using AFSIM and successful completion of AFSIM training

Experience performing model verification and validation

Previous experience in sensor exploitations such as developing Automatic Target Recognition (ATR), Combat Identification (CID), tracking, detection, fusion, or pattern of life algorithms and/or models

Strong understanding of statistics

Working within an Agile team environment, to include Program Increment Planning, Iteration Planning, Feature and Story development, Sprint Planning, and Iteration Retrospectives

Participating in demos for the team and program Sprint reviews