6 days ago
McLean, VA, USAStaff+
Base Salary
$173k - $259k/yr
Responsibilities
- Design, develop, and implement advanced cyber and AI-enabled capabilities for operational missions and technology innovation initiatives.
- Lead development and integration of AI/ML tools and supporting infrastructure for cyber operations, digital investigations, reverse engineering, and mission analytics.
- Identify opportunities for automation, optimization, and data-driven decision-making across cyber operations and investigative workflows.
- Conduct and support digital, mobile, cloud, and network forensic analysis.
- Develop prototypes, tools, analytics, and workflows for cyber operations, vulnerability research, reverse engineering, and investigations.
- Research and evaluate emerging AI cyber technologies for forensic techniques and operational tradecraft.
- Establish practices for AI governance, operational security, responsible AI use, and secure deployment in mission environments.
- Support sponsor engagements and collaborate with investigators, operators, technical representatives, and multidisciplinary engineering teams.
- Prepare technical documentation, assessments, demonstrations, testing reports, and operational briefings.
- Provide technical leadership, mentorship, and knowledge transfer to cyber operations and engineering teams.
Requirements
- Bachelor’s degree in computer science, artificial intelligence, machine learning, software engineering, cybersecurity, data science, or a related technical field with typically 10 years of related experience; alternatives include 8 years with a master’s degree, 5 years with a PhD, or an equivalent combination of education and work experience.
- Experience designing, developing, or deploying AI/ML systems in operational or research environments.
- Programming experience with Python, Java, C++, or C.
- Experience with AI/ML frameworks and tooling such as PyTorch, TensorFlow, Scikit-learn, LangChain, MLflow, Hugging Face, Sage, Cursor, or Claude Code.
- Familiarity with secure enterprise, cloud, hybrid, or disconnected operational AI deployments and Linux development environments.
- Familiarity with cybersecurity operations and at least one discipline such as digital forensics, mobile or cloud forensics, reverse engineering, vulnerability research, IoT analysis, or network packet capture and analysis.
- Familiarity with PostgreSQL and/or SQLite database systems.
- Must be eligible to obtain and maintain a Top Secret U.S. government security clearance and be a U.S. citizen to be considered for clearance eligibility.
- Preferred qualifications include LLM, RAG, autonomous-agent, generative AI, AI security, adversarial machine learning, model validation, responsible AI, cloud-native infrastructure, containerization, network forensics, applied research, sponsor engagement, DevSecOps, MLOps, CI/CD, infrastructure automation, and national security experience.
- Preferred qualifications also include prior Top Secret/SCI clearance and demonstrated technical leadership of multidisciplinary engineering or research teams.
Benefits
- MITRE offers competitive benefits, meaningful career development, and a culture of innovation, collaboration, and technical excellence.
- The role is onsite and requires a minimum of three days per week onsite.
- The position requires a minimum Secret clearance and requires the hired candidate to obtain Top Secret clearance within one year of hire.
Tech Stack
Categories
About MITRE
MITRE is a nonprofit systems engineering and applied research organization that operates multiple federally funded research and development centers for U.S. government agencies. It builds prototypes, frameworks (such as the MITRE ATT&CK knowledge base), and provides technical guidance across defense, cybersecurity, aviation, and healthcare. Founded in 1958 and headquartered in McLean, Virginia, MITRE runs FFRDCs for sponsors including the Department of Defense, the Federal Aviation Administration, and health agencies.