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Senior Machine Learning Engineer
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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.
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 Years of Experience
Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or 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
Active Secret clearance required; TS/SCI clearance preferred.
No dual citizenship.
Required Skills and Experience
Six (6) or more years of experience 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 with Unmanned Surface Vehicles (USVs) or similar autonomous platforms (UAVs, UUVs, 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.
Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Additional Information 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. For more information, visit saic.com.
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Senior Machine Learning Engineer
role at
Jobs via Dice
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.
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 Years of Experience
Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or 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
Active Secret clearance required; TS/SCI clearance preferred.
No dual citizenship.
Required Skills and Experience
Six (6) or more years of experience 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 with Unmanned Surface Vehicles (USVs) or similar autonomous platforms (UAVs, UUVs, 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.
Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Additional Information 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. For more information, visit saic.com.
Referrals increase your chances of interviewing at Jobs via Dice by 2x
Get notified about new Senior Machine Learning Engineer jobs in
San Diego, CA .
#J-18808-Ljbffr