AI / Cyber Operations Engineer

Key Skills

Aartificial intelligence, AI Robotic systems, C Programming, C++, Cybersecurity, Data science techniques, Keras software library, Machine learning techniques, NumPy, Operations, Python Programming, PyTorch, Rust, TensorFlow

Job Description

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 forensics, while drawing on other expertise as required for specific missions or adversaries.

Focus areas include:

• Cyber Effects: Signature reduction, cyber/EW convergence, cyber deception, adversary emulation, managed attribution, and special communications.
• Reverse engineering: including mobile, embedded, and IoT reverse engineering, capability development, and vulnerability exploitation.
• Autonomy: applying data science, AI, and ML methods to technology and operations across the spectrum of activities in Cyber Operations.

Roles and Responsibilities:

• MITRE is seeking strong technical candidates with a background in Artificial Intelligence, Data Science, Machine Learning, Robotics, or related disciplines, with experience in application to the cyber domain, to join a research and development team focused on investigating new technologies and building prototypes.

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.)

Minimum Qualifications:

• Bachelor’s degree in Computer Science/Engineering, Cyber Operations/Cybersecurity, AI, or related and 2+ years applicable experience; or equivalent combination of related education and work experience
• 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
• Project experience applying AI/ML methods to cyber domain problems.
• Strong knowledge of programming languages and scripting tools. (e.g., Python, Rust, Go, C/C++)
• Familiarity with AI/ML methods and stacks for deep learning, large language models, reinforcement learning, classification, etc.
• Must be US citizen capable of obtaining and maintaining a security clearance.

Preferred Qualifications:

• Preference given to qualified candidates with active security clearance.
• Advanced degree & applicable internships are a plus!
• Familiarity with agent-based systems and automated planning
• Familiarity with modeling and simulation for AI development
• Experience with ML frameworks (numpy, tensorflow, keras, pytorch, RayLib, etc.)
• Experience developing/leveraging AI gym environments.

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

None

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

Secret

Work Location Type:

Hybrid

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