• Senior Machine Learning Engineer

    SAIC (San Diego, CA)


    Description

    SAIC is seeking a **Secret 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.

    Responsibilities:

    + Design and implement computer vision algorithms for object detection, tracking, and environmental perception.

    + Analyze and integrate data from various sensor modalities including EO/IR cameras, LIDAR, and radar.

    + Develop scalable data pipelines and orchestrate workflows using Apache Airflow and AWS services.

    + Write efficient Python code and shell scripts for deployment and automation tasks.

    + Work in a Linux development environment, emphasizing scripting, debugging, and system-level operations.

    + Collaborate with cross-functional teams including ML engineers, software developers, and systems integrators.

    Qualifications

    Education and Yrs of Experience Requirements:

    + Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related STEM field and and six (6) years of experience in of AI/ML experience in defense or intelligence environments.

    + OR Bachelor's Degree in the above fields plus at least eight (8) years of relevant defense-oriented AI/ML experience (e.g., modeling, operational deployment, systems integration).

    Citizenship and Clearance requirements:

    + US Citizenship required.

    + No dual citizenship.

    + Active Secret clearance required; TS SCI clearance preferred.

    Required Skills and Experience:

    + Six (6) or more years of experience and a strong background in Machine Learning and Computer Vision, including classical techniques and deep learning-based approaches.

    + Proficiency with Python and Bash scripting.

    + Experience with Apache Airflow and AWS Cloud for data orchestration and workflow automation.

    + Practical experience working with Unmanned Surface Vehicles (USVs), or similar autonomous platforms such as UAVs, UUVs, and/or Intelligence, Surveillance, and Reconnaissance (ISR) platforms.

    + Hands-on experience with computer vision libraries such as OpenCV, PyTorch, TensorFlow, etc.

    + Comfortable operating in Linux environments for development and deployment tasks.

    Preferred Skills and Experience:

    + Proficiency in containerization and orchestration tools (e.g., Docker, Kubernetes) for scalable deployment.

    + Understanding of ML Ops practices including CI/CD pipelines, model versioning, and automated retraining.

    + Experience with real-time systems and latency-sensitive applications in robotics or surveillance.

    + Prior work with defense, maritime, or aerospace systems, especially involving autonomy or ISR missions.

     

    Please view our Program page for more information and to view all open positions available: https://jobs.saic.com/pages/NOA (https://jobs.saic.com/pages/NOA.) .

     

    Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

    REQNUMBER: 2510407

    SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability