AI Innovation Security Researcher

Were seeking an AI Innovation Security Researcher to serve as the critical link between our AI development team and our security experts. In this role, you will:

Translate real-world security challenges into AI-driven solutions
Shape prompt strategies and model workflows for security use-cases
Contribute to AI system developmenthelp architect, prototype, and iterate on models and pipelines
Design and execute rigorous benchmarks to evaluate the performance of security-focused AI tools
Your work will power capabilities such as automated exploitability checks for SAST/SCA findings, AI-guided remediation of container vulnerabilities (e.g. Dockerfile misconfigurations, unsafe downloads), and detection/analysis of data leaks. Youll also help amplify our thought leadership by authoring blogs and delivering conference talks on cutting-edge AI-security topics.

Key Responsibilities

Research & Benchmarking

Define evaluation frameworks for AI models tackling security tasks
Build test suites for exploitability analysis (e.g. proof-of-concept generation, severity scoring)
Measure and report on model accuracy, false-positive/negative rates, and robustness
AI Collaboration & Development

Work with ML engineers to craft and refine prompt templates for security scenarios
Contribute to model architecture design, fine-tuning, and deployment workflows
Investigate model behaviors, iterate on training data, and integrate new AI architectures as needed
Security Expertise & Tooling

Apply deep knowledge of static and software composition analysis (SAST/SCA)
Analyze container build pipelines to identify vulnerability origins and remediation paths
Leverage vulnerability databases (CVE, NVD), threat modeling, and risk assessment techniques
Content Creation & Evangelism

Write technical blog posts, whitepapers, and documentation on AI-driven security solutions
Present findings at internal brown-bags and external conferences
Mentor teammates on AI security best practices