We Love AI JobsMember of Technical Staff (Software Engineer, Applied AI)
PerplexityYou’ll build and ship agent capabilities for Perplexity Computer, including personalization, retrieval, recommendations, and context applications. The role owns the AI product lifecycle from data analysis and evaluation through production testing and iteration, in collaboration with engineering, product, data science, and design.
Skills & Expertise
Key Responsibilities
Build agent capabilities and context-layer applications for Perplexity Computer.
Own model development from data analysis through evaluation, testing, and production improvement.
Design research harnesses, experiments, and metrics to assess product quality and impact.
Full 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).