Chief Scientist for AI-enabled Cyber Systems

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Department Summary:

MITRE's Offensive Operations & Effects department, part of the Cyber Operations & Effects Innovation Center, enables cyber operations by applying software and hardware techniques and solutions. Our evaluations, rapid prototypes, and tools development provide unprecedented capabilities designed to be applied to real-world missions. Our experts provide cyber capabilities including support to operations, reverse engineering, and digital forensics expertise, while drawing on other expertise as required for specific missions or adversaries. One area of focus is applying data science, AI and autonomy, and ML methods to technology and operations across the spectrum of activities in Cyber Operations.

Roles & Responsibilities:

MITRE is seeking strong technical candidates with a background in the cyber domain, specifically cyber operations, with experience in the application of Artificial Intelligence, Data Science, Machine Learning, Robotics, or related disciplines, to join the division's senior technical staff representing the department's focus area of AI, ML, and autonomy in Cyber Operations.

Activities

• R&D at the intersection of autonomy, AI, and ML and cyber operations
• Design and develop automated decision-making and control methods for cyber systems
• Design and develop applied AI solutions for decision support and human-machine teaming
• Knowledge Engineering (e.g. knowledge graphs, ontologies, etc.)
• Setting direction for the division and influencing MITRE Labs and direct work programs on the convergence of AI and Cyber Operations across Research, capability development, and direct programs.

Basic Qualifications:

• Typically requires a minimum of 10 years of related experience with a Bachelor's degree; or 8 years and a Master's degree; or a PhD with 5 years' experience; or equivalent combination of related education and work experience in cyber ops and/or Autonomy/AI/ML.
  • For cyber primary: coursework in data science or machine learning
  • For AI primary: linear algebra; project work in standard ML libraries; cyber applications/topic familiarity
• Technical experience applying AI/ML methods to cyber domain problems.
• Must be US citizen with a TS security clearance.
• Excellent written, oral, and interpersonal communication skills and a keen desire to learn.
• An open attitude to promoting the work of others.
• This position requires a minimum of 50% hybrid on-site

Preferred Qualifications:

• Strong knowledge of programming languages and scripting tools. (e.g., Python, Rust, Go, C/C++)
• Strong Familiarity with AI/ML methods and stacks for deep learning, large language models, reinforcement learning, classification, etc.
• Experience applying AI/ML methods and stacks for deep learning, large language models, reinforcement learning, classification, etc. to problems in the cyber operations domain.
• Experience with agent-based systems and automated planning.
• Experience with modeling and simulation for AI development.
• Experience with ML frameworks (numpy, tensorflow, keras, pytorch, RayLib, etc.)
• Experience developing/leveraging AI gym environments.
• Able to obtain TS/SCI Clearance

This requisition requires the candidate to have a minimum of the following clearance(s):
Top Secret

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Top Secret

Salary compensation range and midpoint:
$172,500 - $215,500 - $258,500 Annual

Work Location Type:
Hybrid

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Commitment to Non-Discrimination

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.

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