Gen AI Security Researcher

As a Red Team Specialist focused on Generative AI Models, you will play a critical role in enhancing the security and integrity of our cutting-edge AI technologies. Your primary responsibility will be to conduct simulated cyber attacks and penetration testing on our generative AI systems, including but not limited to language models, image generation models, and any related infrastructure. The goal is to identify vulnerabilities, assess risks, and provide actionable insights to fortify our AI models against potential threats.

Key Responsibilities:

Simulated Cyber Attacks: Conduct sophisticated and comprehensive simulated attacks on generative AI models and their operating environments to uncover vulnerabilities.
Vulnerability Assessment: Evaluate the security posture of AI models and infrastructure, identifying weaknesses and potential threats.
Risk Analysis: Perform thorough risk analysis to determine the impact of identified vulnerabilities and prioritize mitigation efforts.
Mitigation Strategies: Collaborate with development and security teams to develop effective strategies to mitigate identified risks and enhance model resilience.
Security Protocols Development: Aid in the creation and refinement of security protocols and best practices for the development and deployment of generative AI models.
Research and Innovation: Stay abreast of the latest trends and developments in AI security, ethical hacking, and cyber threats. Apply innovative testing methodologies to ensure cutting-edge security practices.
Documentation and Reporting: Maintain detailed documentation of all red team activities, findings, and recommendations. Prepare and present reports to senior management and relevant stakeholders.
Training and Awareness: Provide guidance and training to technical and non-technical teams on security awareness and best practices related to generative AI.

Requirements:

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Information Security, or a related field.
Proven experience in cyber security, particularly in penetration testing, vulnerability assessment, and ethical hacking.
Strong understanding of AI technologies and their underlying architectures, especially generative models like GPT, DALL-E, etc.
Familiarity with security frameworks, compliance standards, and ethical guidelines in AI.
Proficiency in programming and scripting languages relevant to AI and cybersecurity (e.g., Python, JavaScript).
Excellent analytical, problem-solving, and communication skills.
Certifications in cybersecurity (e.g., OSCP, CEH, CISSP) are highly desirable.

Preferred Skills:

Experience with machine learning development frameworks and environments.
Knowledge of data privacy regulations relevant to AI technologies, such as GDPR, CCPA, etc.
Ability to work in a fast-paced, ever-changing environment.

Hybrid:
Yes