3 applications engineer jobs found

Description SAIC is seeking a Top s ecret cleared AI/Machine Learning Subject Matter Expert in support of NAVWAR's Naval Operational Architecture (NOA) Program in San Diego, CA. In this role, you'll help drive the innovation of autonomous, AI-enabled systems for the Naval Operational Architecture that supports distributed maritime operations. You will translate sensor-derived data into real-time decision triggers, supporting initiatives. Your contributions will play a pivotal role in enhancing the Navy's command networks with AI-driven analysis, prioritizing speed, resilience, and operational superiority. In this mission-critical position, your expertise will help shape the future of autonomous naval warfare and analytic decision support. This is a recently awarded contract, funded for five years. Work is performed on site in San Diego, CA. Please view our program page for more information and to view all open positions available: company website Job...

Description SAIC is seeking a talented and experienced Machine Learning Developer to join our dynamic team. This position is hybrid in Arlington, VA with 2-3 days per week onsite at the Pentagon or the Mark Center. The ideal candidate will have a strong background in computer science, software engineering, and experience with machine learning algorithms and frameworks. The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production. Key Responsibilities: Develop and implement machine learning models and algorithms to provide suggested values to readiness reports for our DOD client. Refine data collection processes and improve data quality. Design and develop scalable machine learning solutions for various applications. Work with software developers to integrate machine learning models into production systems. Conduct research to...

Description SAIC is seeking Field Service Engineers (FSE) to support the Medusa Sustainment project, at Andrews Air Force Base, which is a U.S. Air Force solution for defense against small unmanned aerial systems (s-UAS). The Medusa System of Systems is the U.S. Air Force's solution for defense against small unmanned aerial systems (s-UAS) utilizing a government-owned Medusa Command and Control (Medusa C2), which allows for a plug-and-play selection of Passive and Active Sensors, Electronic and Kinetic Weapon Systems, as well as the insertion of a variety of Fusion, Association, Threat and Combat ID Algorithms. The Medusa C2 supports fixed base, portable, mounted and handheld operations. The Medusa Team supports the United States Air Force C-sUAS programs worldwide. Job Responsibilities: Provide field engineering and technical support services to maintain and sustain fielded C-sUAS systems, equipment, and software at designated locations. Install, operate,...