Member of Technical Staff

Responsibilities

• Develop threat models for emerging attack surfaces in AI-native products, including browser, search, and autonomous agents
• Identify and analyze security and privacy threats across AI systems, infrastructure, and user-facing products
• Develop novel defenses, mitigations, and detection mechanisms for security and privacy in AI-native products
• Build security evaluation frameworks, benchmarks, and datasets to measure the effectiveness of different defense mechanisms
• Partner with Perplexity’s Security Engineering team to translate state of the art research into shipped security features and hardened system architectures
• Collaborate with top-tier academic and industry researchers in SII's external research network
• Publish findings at premier venues and contribute to the broader security research community

Requirements

• PhD or equivalent research experience in Computer Science, Computer Engineering, or a related field
• Primary focus on security and/or privacy
• Experience publishing at top security conferences (IEEE S&P, USENIX Security, ACM CCS, NDSS)
• Deep expertise in security of agentic systems, systems security, web and applications security, program analysis, or software security
• Proficiency in Python
• Strong communication skills to translate complex attack narratives into actionable insights

Preferred Qualifications

• Experience with TypeScript, Go, or Rust
• Ability to operate with high independence in a fast-paced environment

About the Company

Perplexity's Secure Intelligence Institute (SII) is a flagship research center dedicated to advancing security, privacy, and trust in frontier intelligence.