The MITRE Corporation
Cyber Operations Engineer - Artificial Intelligence
McLean, Virginia · Internship
No sponsorship$159k-$199kDetected 25 days ago
PythonJavaC++PostgreSQLSQLiteDockerKubernetesCI/CDLinuxMachine LearningTensorFlowPyTorchscikit-learnData AnalysisData ScienceLLMsRAGMLOpsA/B TestingCybersecurityIntellectual PropertyWiresharkResearchLeadership
About the role
- That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees.
Responsibilities
- Design, develop, and implement advanced cyber and AI-enabled capabilities supporting operational mission objectives 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
- Conduct and support digital, mobile, cloud, and network forensic analysis activities in support of mission requirements
- Develop prototypes, tools, analytics, and workflows supporting cyber operations, vulnerability research, reverse engineering, and investigative activities
- Establish and implement best practices for AI governance, operational security, responsible AI usage, and secure deployment within mission environments
- Support sponsor engagements and collaborate with technical representatives, investigators, operators, and multidisciplinary engineering teams
- Prepare and deliver technical documentation, assessments, demonstrations, testing reports, and operational briefings to internal and external stakeholders
- MITRE intends to maintain a website that is fully accessible to all individuals.
Requirements
- Typically requires a minimum of 8 years of related experience with a Bachelor's degree
- or 6 years and a Master's degree
- or a PhD with 3 years' experience
- Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance.
- Experience programming in languages such as Python, Java, C++, or C
- Experience with AI/ML frameworks and tooling such as PyTorch, TensorFlow, Scikit-learn, LangChain, MLflow, Hugging Face, Sage, Cursor, Claude Code, or equivalent
- Familiarity with cybersecurity operations concepts and objectives
- Familiarity with one or more cyber technical disciplines such as:
- Familiarity with database systems such as PostgreSQL and/or SQLite
- Experience applying professional engineering principles, theories, concepts, and techniques to complex technical problems
Nice to have
- Experience applying AI/ML to cyber operations, reverse engineering, digital investigations, or mission analytics
- Experience with cloud-native AI/ML infrastructure and containerized deployments (Docker, Kubernetes, OpenShift, etc.)
- Operational experience with network forensics and PCAP analysis
- Experience conducting applied research, rapid prototyping, or proof-of-concept development in mission environments
- Experience supporting outward-facing sponsors and collaborative technical engagements
- Familiarity with DevSecOps, MLOps, CI/CD pipelines, and infrastructure automation
- Experience briefing technical strategies, assessments, and demonstrations to leadership or sponsor organizations
- Prior experience working within government, defense, intelligence, or national security environments
Skills
- Why choose between doing meaningful work and having a fulfilling life?
- MITRE is different from most technology companies.
- Department Summary
- Roles & Responsibilities
Compensation
- $158,800 - $198,500 - $238,200 Annual
Benefits
- Benefits information may be found here.
Equal opportunity
- This service is for individuals requiring reasonable accommodation requests.
- All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
Visa & Work Authorization
- Support sponsor engagements and collaborate with technical representatives, investigators, operators, and multidisciplinary engineering teams
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