Perplexity AI
Member of Technical Staff (Secure Intelligence Institute)
San Francisco · Staff+
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About the role
- Perplexity is seeking energetic researchers and engineers to join our Secure Intelligence Institute (SII), Perplexity's flagship research center for advancing security, privacy, and trust in frontier intelligence.
- SII's goals are to advance frontier AI security research, translate those advances into concrete improvements in Perplexity's systems, and share knowledge and resources that strengthen the broader AI ecosystem.
- As a member of SII, you'll conduct original and impactful research on improving the security and privacy of frontier intelligence systems.
Responsibilities
- Develop threat models for emerging attack surfaces in AI-native products, including browser, search, and autonomous agents.
- 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.
- This work will be informed by the realities of operating general-purpose AI systems used by millions of people and thousands of enterprises, and you'll be expected to translate both your own research and advances from the broader community to practical improvements that protect and defend Perplexity's users.
Requirements
- 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.
- Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).
- Clear and concise communcation, translating complex attack narratives into actionable insights for engineering and leadership.
This listing is sourced directly from Perplexity AI's careers page and normalized into a canonical job model.