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Perplexity AI

60 jobs near Columbus, OH

Perplexity

Demand Generation Lead

New York, NY · On-site

$200K - $215K/yr

Perplexity is seeking a highly motivated and skilled Demand Generation Lead to join our GTM team ... Architect and operate a modern demand engine using AI-native tooling-programmatic outbound, AI ...

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Member of Technical Staff (Software Engineer, Applied AI)

Perplexity

San Francisco, CA

Full-time

Posted 12 days ago

Job description

Perplexity is looking for an Applied AI Engineer to design, build, and iterate on cutting-edge agents powering our core experience in Perplexity Computer. Working in this mission critical team, you will develop frontier context layer applications - fulfilling the curiosity of millions of users across the globe.

Key Responsibilities

  • Apply state-of-the-art ML and LLM techniques to solve problems spanning:

    • Personalization (LLM memory, context summarization, retrieval and ranking);

    • Contextual recommendations and Monetization applications

    • Build frontier agent capabilities on top of Perplexity Computer

  • Build auto research harness for both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact.

  • Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement and build autonomous harness for agent squad to explore different problem spaces.

  • Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements.

  • Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle.

Preferred Qualifications

  • 5+ years experience building and shipping robust AI products for large-scale, user-facing or data-driven products.

  • Strong software engineering skills (Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large scale parallel developments.

  • In-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring/improvement.

  • Proven collaborator and communicator; excels in high-velocity, cross-functional teams.

  • Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI.

  • BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience).

Bonus Points For

  • Experience with LLM context engineering or harness engineering.

  • Experience in mid-training or post-training frontier open source models

  • Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).

Apply