SAIC · 11 hours ago
Principal Machine Learning Engineer
SAIC is seeking a highly motivated Principal Machine Learning Engineer to join our team of professionals providing technical and program support for the V-22 aircraft. The role involves understanding complex problems, developing solutions, and making predictions through statistical techniques and machine learning algorithms to assist with informed organizational decisions.
Information TechnologySecurityService IndustrySoftware
Responsibilities
Design and implement models and algorithms to support program objectives in detecting maintenance and readiness trends and issues
Analyze and integrate data from various sensor modalities and enterprise data sources in logistics, maintenance, and supply
Develop scalable data pipelines and orchestrate workflows using
Write efficient code, typically in Python, 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
Qualification
Required
Bachelors in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related STEM field and nine (9) years or more of experience in AI/ML experience in defense or intelligence environments; Master's degree and seven (7) years or more of experience
U.S. Citizenship required
No dual citizenship
Must have an Active Secret clearance to start
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
Practical experience working with defense programs and an understanding of program requirements and milestones
Hands-on experience with computer vision libraries such as OpenCV, PyTorch, TensorFlow, etc
Comfortable operating in Linux environments for development and deployment tasks
Preferred
Proficiency in containerization and orchestration tools (e.g., Docker, Kubernetes) for scalable deployment
Understanding ML Ops practices including CI/CD pipelines, model versioning, and automated retraining
Experience with real-time systems and latency-sensitive applications
Prior work with defense, maritime, or aerospace systems
Company
SAIC
SAIC specializes in IT, enterprise IT, engineering, and professional services.
Funding
Current Stage
Public CompanyTotal Funding
$522.13MKey Investors
U.S. Geothermal
2025-09-22Post Ipo Debt· $500M
2010-09-13Post Ipo Equity· $22M
2006-10-13IPO
Leadership Team
Recent News
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2025-12-05
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