Leidos is a company dedicated to delivering innovative solutions through diverse and talented teams. They are seeking an AI/ML Engineer to integrate advanced AI/ML algorithms into legacy nuclear monitoring systems, contributing to national security through real-time geophysical data processing.
Design, develop, and integrate AI/ML algorithms into mission-critical software systems
Build and curate datasets for training, tuning, and testing models
Evaluate algorithm performance in real-time geophysical environments
Collaborate with government and contractor teams across software and geophysical domains
Qualification
Required
Bachelor’s degree in Computer Science, Machine Learning, Data Science, Mathematics, Physics, or related field, with 2+ years of relevant experience. Additional experience, training, or certifications may substitute for degree
U.S. citizen; Currently possessing an Active DoD Secret clearance and eligibility for Top Secret/SCI
Proficiency in Python and shell scripting in Linux/Unix environments
Strong analytical, scientific, and problem-solving skills
Experience building datasets and evaluating AI/ML model performance
Preferred
Knowledge of digital signal processing, time-series analysis, Fourier/spectral analysis, and seismic event classification
Experience with seismic or geophysical data processing
Familiarity with deep learning, neural networks, classification, and ensemble methods
Experience with relational databases (e.g., Oracle/SQL)
Exposure to Flask, C/C++, and version control tools (e.g., Git, ClearCase)
Master’s degree in Machine Learning, Data Science, Geophysics, or related field and/or 4+ years of experience
Benefit
Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health.
