Software Engineering Institute (SEI)

Cybersecurity

SeniorAISecuritySoftwareEngineer

Pittsburgh, Pennsylvania, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior AI Security Software Engineer at Software Engineering Institute (SEI). Skills: AI Security, Machine Learning, Software Engineering. Develop machine learning prototypes. Develop machine learning tools”

What You'll Achieve.

Automate solutions to AI Security problems; Influence national AI and cyber security strategy

Industry & Context.

Cybersecurity
Problems you'll solve

Analytical and problem-solving skills

Eligibility Requirements

Travel to various locations (5%), Subject to background check, Obtain and maintain a Department of War (DoW) security clearance

What They're Looking For.

Must Have

BS in computer science, machine learning, cybersecurity, statistics, or related discipline with ten (10) years of OR MS in the same fields with eight (8) years of OR PhD in the same fields with five (5) years of experience, Understanding of software engineering principles and system design, Experience with containerization and microservices architectures, Department of War (DoW) security clearance

Nice to Have

Experience applying statistical modeling and advanced data analytics techniques, Background in developing AI/ML solutions in real-world settings, Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis), Experience and knowledge in cybersecurity best practices, Demonstrated ability to quickly learn and adapt to new technologies and domains

What You'll Do.

Develop machine learning prototypes

Develop machine learning tools

Develop machine learning systems

Design AI security solutions

Execute AI security solutions

Process cybersecurity datasets

Analyze cybersecurity datasets

Support AI red teaming

Support adversarial machine learning

Translate research concepts

How You'll Work.

Team & Collaboration

Collaborate with researchers; Collaborate with stakeholders; Work with researchers; Work with customers; Work with elite AI and cyber security professionals; Work with university faculty; Part of a collaborative team

Communication Scope

Communicating effectively across technical and non-technical audiences

Full Job Description

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the role of Senior AI Security Software Engineer. Established in response to the Morris worm, CERT has been a leader in cybersecurity research, advancing the resilience of software systems and responding to sophisticated cyber threats. As AI becomes central to critical infrastructure, advancing its security and resilience offers a compelling opportunity to shape the future, impacting support of the national security mission. Our team researches and develops tactics, techniques, and procedures necessary for the field of AI security. Our work includes experimental designs for large-scale AI security research programs, AI red teaming, and counter AI applications. Additionally, we work in generative AI and large language models, data visualization, security analysis of AI systems, and adversarial machine learning. We have access to a wide variety of cyber-related data, including malware samples, NetFlow data, cyber security training runs and tests, incident tickets, and more. Artificial Intelligence Security Software Engineers at the SEI use software and machine learning engineering practices, data processing, and data analytics to help our researchers solve AI security challenges. In this role, you will work with our researchers and customers to develop machine learning based prototypes, products, and tools to solve and automate solutions to AI Security problems. You'll get a chance to work with elite AI and cyber security professionals and university faculty to build new technologies that will influence national AI and cyber security strategy for decades to come. **Key Responsibilities** * Develop machine learning–based prototypes, tools, and systems for AI security applications, demonstrating strong expertise in ML development and deployment * Collaborate with researchers and stakeholders to design and execute experimental AI security solutions, communicating effectively across te

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