Jobs via Dice
Job Overview
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. Work is performed on site in San Diego, CA. This is a recently awarded contract, funded for five years.
Job Details Location:
SAN DIEGO, CA, US Date Posted:
2025-12-12 Category:
Engineering and Sciences Subcategory:
Machine Learning Engineer Schedule:
Full-time Shift:
Day Job Travel:
No Minimum Clearance Required:
Secret Clearance Level Must Be Able to Obtain:
TS/SCI Potential for Remote Work:
No
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.
Education and Experience Requirements
Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related STEM field and six (6) years 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
Active Secret clearance required; TS/SCI clearance preferred.
No dual citizenship.
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 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.
Salary Target salary range: $160,001 – $200,000.
Company Overview SAIC is a premier technology integrator providing full life‑cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is redefining ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC’s approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquarters: Reston, Virginia. Annual revenues: approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see available resources.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries Software Development
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Job Details Location:
SAN DIEGO, CA, US Date Posted:
2025-12-12 Category:
Engineering and Sciences Subcategory:
Machine Learning Engineer Schedule:
Full-time Shift:
Day Job Travel:
No Minimum Clearance Required:
Secret Clearance Level Must Be Able to Obtain:
TS/SCI Potential for Remote Work:
No
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.
Education and Experience Requirements
Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related STEM field and six (6) years 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
Active Secret clearance required; TS/SCI clearance preferred.
No dual citizenship.
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 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.
Salary Target salary range: $160,001 – $200,000.
Company Overview SAIC is a premier technology integrator providing full life‑cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is redefining ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC’s approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquarters: Reston, Virginia. Annual revenues: approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see available resources.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries Software Development
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