Member of Technical Staff (Secure Intelligence Institute)
$220,000–$405,000 year
On-siteSan Francisco, California, United States
Job Summary
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 to protect Perplexity's systems. Build security evaluation frameworks, benchmarks, and datasets to measure defense effectiveness. Partner with Security Engineering to translate state-of-the-art research into shipped features and hardened architectures. Collaborate with top-tier academic and industry researchers, publishing findings at premier venues to strengthen the broader AI ecosystem.
Required Qualifications
- Hold a PhD (or equivalent research experience) in Computer Science, Computer Engineering, or a related field, with a primary focus on security and/or privacy
- Experience publishing at top security conferences (IEEE S&P, USENIX Security, ACM CCS, NDSS) demonstrating original, impactful research contributions
- Deep expertise in one or more of: security of agentic systems, systems security, web and applications security, program analysis, and software security
- Ability to operate with high independence, willing to dive in and take ownership, and comfortable in a fast-paced environment where research directly informs product
- Clear and concise communication, translating complex attack narratives into actionable insights for engineering and leadership
Desired Qualifications
- Proficiency in Python (bonus points for TypeScript, Go, and/or Rust)
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