Researching, developing, architecting, and integrating ML models, algorithms, tools, and techniques into existing or new environments
Analyzing large datasets with preprocessing data skills, data cleansing, and conducting data integrity and validation actions
Designing, developing, and integrating ML models and algorithms to address specific problems, such as detection of AI-generated and manipulated imagery and video
Introducing ML and pattern recognition to discover hidden insights
Collaborating well with a strong lean-forward attitude to shift knowledge left, deliver well, and produce quality results
Integrating advanced algorithms developed by academic partners into operational workflows using NGA data and environments
Adapting and optimizing models for real-world conditions (compression, noise, format variability)
Working with containerized solutions (Docker or similar) to support deployment and reproducibility
Generating technical reports, visualizations, and summaries suitable for NGA stakeholders
Participating in technical meetings and reviews within secure environments (SCIF)

Requirements

5-7 Years of experience
Bachelor degree or Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields
3+ years of experience in machine learning / computer vision / data science
Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow)
Experience working with image and/or video data
Ability to understand and implement research-level algorithms from technical papers and reports
Experience with model evaluation, validation, and performance analysis
Familiarity with Linux-based environments and version control systems (e.g., Git)
Experience with image forensics, deepfake detection, or GEOINT-related analytics (desired)
Experience working with DoD / IC programs or classified environments (desired)
Familiarity with containerization (Docker) and deployment pipelines (desired)
Strong problem-solving and analytical skills
Effective communication with both technical and non-technical stakeholders

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningcomputer visiondata sciencePythonPyTorchTensorFlowmodel evaluationdata cleansingalgorithm developmentimage forensics

Soft Skills

problem-solvinganalytical skillseffective communicationcollaborationadaptabilityattention to detailstrong work ethicknowledge sharingquality focustechnical reporting