AI/ML Engineer

Make an Impact with Leidos

At Leidos, we deliver innovative solutions through the dedication of our diverse and talented teams. United by a shared commitment to our customers’ success, we empower our people, support our communities, and operate sustainably. Our Mission, Vision, and Values guide every aspect of our work, ensuring we do the right thing—for our customers, our people, and the world around us.

Thrive in an Impactful Environment

The Leidos National Security Sector offers a broad portfolio of systems, solutions, and services across land, sea, air, space, and cyberspace. We support critical defense missions with capabilities in enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence operations. Our teams tackle the world’s toughest security challenges for customers with “can’t fail” missions.

Position: AI/ML Engineer

Leidos National Security Sector is seeking an AI/ML Engineer to join the Air Force Technical Application Center (AFTAC) US National Data Center team. This role supports the integration of advanced AI/ML algorithms into legacy nuclear monitoring systems, contributing to national security through real-time geophysical data processing.

Primary Responsibilities:

• 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

Basic Qualifications:

• 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 Qualifications:

• 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

Ready to make an impact? Start your meaningful career journey with Leidos—submit your resume today!

EIO 2024

At Leidos, we don’t want someone who "fits the mold"—we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, “what’s next?” before the dust settles on “what’s now.”

If you’re already scheming step 20 while everyone else is still debating step 2… good. You’ll fit right in.

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.