Research Lead, AI Cyber Testing & Evaluation

RAND Corporation

Boston (MA)

Hybrid

USD 146,200 - 261,400

Full time

14 days+

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Benefits offered by this job

Health insurance
Life and disability insurance
Savings plan
Paid time-off

Job summary

RAND Corporation's Center on AI, Security, and Technology (CAST) seeks a Research Lead to oversee high-impact research and policy analysis in AI cyber testing. You will manage budgets, lead cross-functional teams, and guide projects spanning technical evaluation and policy briefs.

The role focuses on benchmarking autonomous operations and evaluating AI model defenses in multi-stage attack scenarios. The position is a two-year appointment with renewal options and potential for longer-term

Qualifications

  • 6+ years of technical experience in security engineering or related fields.
  • 6+ years of technical management experience, including budgets and mentoring.
  • Ability to lead complex projects to completion.
  • Proficiency in Python, Java, C/C++ or similar languages.
  • Experience with red team operations or defensive cyber capabilities.

Responsibilities

  • Manage significant research budgets and personnel for complex projects.
  • Lead multidisciplinary teams of policy researchers, engineers, and scientists.
  • Develop benchmarks and evaluate AI model performance across attack lifecycles.

Skills

Security engineering
Software engineering
Leadership
Python
Threat modeling
English communication
Team collaboration

Education

PhD or Masters preferred in Cybersecurity/CS/Engineering
BS with 8+ years relevant experience

Tools

MS Office
Python
Java/C/C++

Job description

RAND Corporation's Center on AI, Security, and Technology (CAST) seeks a Research Lead to oversee high-impact research and policy analysis in AI cyber testing. You will manage budgets, lead cross-functional teams, and guide projects spanning technical evaluation and policy briefs.

The role focuses on benchmarking autonomous operations and evaluating AI model defenses in multi-stage attack scenarios. The position is a two-year appointment with renewal options and potential for longer-term

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