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The role entails leading software acquisition and sustainment for Naval systems, providing technical oversight, collaborating with stakeholders, and developing resilient software solutions.

Conduct red-team assessments of AI-enabled systems, including models, hardware, software, and networks, supporting national security missions. Develop offensive tactics, techniques, procedures, and operational tools using Python, C, Bash, and PowerShell. Perform penetration testing, exploit development, reverse engineering, vulnerability analysis, and Windows/Linux security assessments. Communicate findings to mission partners, travel to field sites, and mentor colleagues.

The Data Scientist will apply advanced statistics and machine learning to solve cybersecurity challenges, develop prototypes, and present findings. Collaboration with government and academia is key.

Conduct AI security research to discover vulnerabilities, evaluate defenses, reverse-engineer malicious code, develop analysis tools and datasets, co-author proposals, and present findings to government, industry, and academic audiences.

Conduct research on AI system robustness and vulnerabilities, reverse engineer malicious code, develop analysis methods and tools, evaluate defenses, publish findings, advise government and industry, and mentor peers while advancing AI security practices.

Build and deploy machine-learning prototypes and tools for AI security; analyze large cybersecurity datasets; support AI red teaming and adversarial ML; collaborate with researchers to translate research into operational capabilities.

Perform AI security research: find and analyze AI system vulnerabilities, evaluate defenses, reverse engineer malicious code, develop tools/datasets, publish results, brief DoD and industry stakeholders, and apply AI to cybersecurity research.

Conduct applied security research across network, system, software, and hardware layers; develop prototypes and analyses; advise US government stakeholders; perform exploit development, protocol and traffic analysis, and RF/SDR investigations.

Design and implement ML-based prototypes, tools, and systems for AI security. Collaborate with researchers to execute experiments, analyze large cybersecurity datasets, support adversarial ML and red teaming, and translate research into deployable, maintainable software solutions.

Lead research on AI system robustness and vulnerabilities, reverse-engineer malicious code, develop analysis methods and tools, evaluate defenses, publish findings, and advise government and industry stakeholders to advance AI security.