EngineeringOn-site

Member of Technical Staff (Secure Intelligence Institute)

Perplexity · On-site

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Last seen by MeritLog September 13, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Perplexity's Ashby job board and last checked it on September 13, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: On-site
Salary: $220K - $405K
Location: San Francisco

Hiring context

How this role compares at Perplexity

Perplexity has 115 live roles in MeritLog’s catalog across 11 job families, and 41 of them are in engineering. 99 of those listings publish a pay range, a disclosure rate of 86%.

This role's posted range of $220K - $405K sits above 69% of the 98 other Perplexity roles quoted over the same currency and period.

Perplexity concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

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.

What they're asking for

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.Education
Experience publishing at top security conferences (IEEE S&P, USENIX Security, ACM CCS, NDSS) demonstrating original, impactful research contributions.Skill
Deep expertise in one or more of: security of agentic systems, systems security, web and applications security, program analysis, and software security.Skill
Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).SkillPreferred
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.Skill
Clear and concise communcation, translating complex attack narratives into actionable insights for engineering and leadership.Skill

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

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. Your goal will be to conduct research that is not only rigorous in theory, but practical enough to improve the systems people rely on every day. 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. 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. 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. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - 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 communcation, translating complex attack narratives into actionable insights for engineering and leadership.

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