Member of Technical Staff; Software Engineer, Computer
Listed on 2026-04-29
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Software Development
Full Stack Developer, AI Engineer (Applied/Software), Software Engineer, Machine Learning/ ML Engineer
Location
San Francisco;
New York City;
Palo Alto
Full time
DepartmentProduct Engineering
Compensation$220K – $405K
• Offers Equity
U.S. Benefits
Full-time U.S. employees enjoy a comprehensive benefits program including equity, health, dental, vision, retirement, fitness, commuter and dependent care accounts, and more.
International Benefits
Full-time employees outside the U.S. enjoy a comprehensive benefits program tailored to their region of residence.
USD salary ranges apply only to U.S.
-based positions. International salaries are set based on the local market. Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.
Design, build, and own product and platform systems for Computer
Lead features, projects and products end-to-end, from problem definition to technical design, implementation, and launch.
Hill climb on hard problems, continuously iterating to improve for ourselves and customers.
Partner closely with engineers, product managers, designers, data scientists, and go-to-market teams.
Build systems that take into account the nuances of AI, working with agents, context, evaluation, personalization and the ground truth.
4+ years of professional software engineering experience.
Strong experience in at least one general-purpose programming language such as Python, Go, Type Script, JavaScript, Swift, Rust, Java, or C++.
Experience building and operating production systems at a meaningful scale.
Strong product judgment and the ability to translate user problems into simple, effective technical solutions.
Genuine interest and adoption of AI products and willingness to learn quickly.
Experience with LLMs, agents, retrieval systems, personalization, or evaluation frameworks.
Time spent at a fast-growing startup or on a high-ownership engineering team.
Founded a company or initiative.
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Compensation Range: $220K - $405K
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