Application Security Researcher
Core
Research vulnerability chaining, business-logic flaws, and complex attack paths; design detection engines for autonomous security systems; evaluate AI models for security use cases.
Role type
Senior IC application security researcher (AI/ML focus)
Builds
Autonomous, agentic pen testing capabilities and security detection engines
Domain
Cybersecurity, AI/ML, Cloud Infrastructure
Deliverable
production ML models
Required skills
vulnerability research, business-logic flaw analysis, Python/Go coding, detection logic design, LLM evaluation, cloud infrastructure (Kubernetes, CI/CD), large-scale data analysis
Preferred skills
exploit development, red teaming, code analysis (taint analysis, call graphs), open-source contributions
Technologies
Python, Go, Kubernetes, SQL, BigQuery, LLMs, SAST, DAST, SCA
Responsibilities
Research vulnerability chaining and attack paths; Design and build detection engines for autonomous systems; Evaluate AI models for security tasks; Prototype and ship security capabilities to production; Analyze security data to improve detection accuracy; Partner with Product and Engineering teams; Own research initiatives from idea to shipped capability
