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SAIC · 8 hours ago

Principal Machine Learning Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

$160K/yr - $200K/yr

7+ years exp

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

Work & Life Balance

No H1B

Security Clearance Required

U.S. Citizen Only

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

Machine LearningComputer VisionPythonLinuxData ScienceContainerizationML OpsStatistical TechniquesLeadership SkillsCollaboration

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