AI Security Engineer developing and executing testing strategies for AI solutions at Tanium. Collaborating with cross-functional teams on safety compliance and performance evaluation.
Responsibilities
Develop and execute AI benchmarking and safety testing strategies for various AI models and applications.
Design and implement testing protocols to assess the performance, accuracy, and safety of AI solutions.
Identify potential risks associated with AI technologies and propose mitigation strategies.
Collaborate with cross-functional teams to integrate safety measures into AI development processes.
Analyze testing results and provide detailed reports on AI model performance and safety.
Stay current with industry standards, regulatory requirements, and best practices for AI safety testing.
Drive continuous improvement in AI safety testing methodologies and tools.
Requirements
Bachelor's degree in computer science, Engineering, or related field.
8+ years of relevant work experience.
Expertise with common security testing methodologies.
Experience with regulatory compliance and industry standards for AI safety.
Familiarity with AI development frameworks and tools.
Strong understanding of AI and machine learning algorithms and their associated risks.
Experience with LLMs, AI Agents, and Natural Language Processing (NLP) techniques, with a focus on safety testing and benchmarking.
Strong analytical and problem-solving skills
Excellent communication and collaboration abilities.
Detailed oriented individual with a deep drive to research the security of bleeding edge technology.
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