| Location | Clarksville, MD |
We are seeking an experienced Machine Learning Engineer to lead the development of advanced AI solutions supporting defense and intelligence operations. This position combines hands-on machine learning engineering with technical leadership, Agile project management, and the delivery of mission-critical AI capabilities.
The ideal candidate will have a strong background in machine learning and software engineering, experience leading technical teams, and the ability to take complex AI solutions from initial concept through development, integration, and operational deployment.
Lead the daily technical activities of a multidisciplinary development team, including project planning, task prioritization, technical decisions, code reviews, and deliverables.
Serve as a Scrum Master and/or Product Owner, managing Agile ceremonies, development backlogs, sprint priorities, and project milestones.
Design, develop, train, test, and evaluate machine learning models utilizing reinforcement learning, neural networks, deep learning, and computer vision.
Develop and maintain ML pipelines supporting data preparation, model training, testing, deployment, and performance monitoring.
Integrate AI/ML models into secure software applications, APIs, and operational systems.
Evaluate model performance, reliability, security vulnerabilities, and effectiveness in real-world applications.
Identify technical challenges, manage project risks, and coordinate resources to ensure successful delivery.
Mentor software engineers and data scientists while establishing development standards and best practices.
Collaborate with engineering teams, program managers, and government stakeholders to translate operational requirements into technical solutions.
Present technical findings, development progress, and recommendations to internal leadership and external customers.
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Electrical Engineering, Applied Mathematics, or a related field.
7 to 10 years of experience in machine learning and software engineering, including technical team leadership.
Experience serving as a Scrum Master and/or Product Owner within an Agile development environment.
Strong hands-on experience developing machine learning models using reinforcement learning, neural networks, deep learning, or computer vision.
Experience in at least one of the following areas: cybersecurity, adversarial AI, or communication systems.
Advanced Python programming skills and experience with machine learning frameworks and scientific computing tools.
Strong understanding of model training, validation, evaluation, experiment tracking, and ML development practices.
Experience developing and integrating software applications, APIs, and modular services.
Knowledge of MLOps, DevSecOps, CI/CD, automated testing, containerization, and deployment processes.
Ability to manage multiple technical priorities, lead development teams, and deliver solutions within established timelines.
Excellent communication, problem-solving, and technical leadership skills.
Must be able to obtain a Top Secret (TS) security clearance.
Active Top Secret (TS) or TS/SCI security clearance.
Previous experience supporting Department of Defense or Intelligence Community programs.
Experience working with the U.S. Air Force, U.S. Space Force, National Reconnaissance Office (NRO), National Geospatial-Intelligence Agency (NGA), or Defense Intelligence Agency (DIA).
Familiarity with Model-Based Systems Engineering (MBSE), system architecture, and digital engineering practices.
Experience deploying machine learning solutions in cloud, edge, classified, or resource-constrained environments.
This is an excellent opportunity for an experienced Machine Learning Engineer who enjoys remaining hands-on technically while leading talented development teams and delivering innovative AI solutions supporting critical defense and intelligence missions.