{"active":true,"apply_url":"https://jobs.ashbyhq.com/perplexity/3c656963-876a-458d-bca6-916a42a24c1a/application","company":{"claimed":false,"name":"Perplexity","slug":"perplexity","website":"https://www.perplexity.ai"},"countries":["US"],"employment_type":"full-time","first_seen_at":"2026-10-15T12:23:43Z","getwork_url":"https://getwork.dev/jobs/ab-perplexity-3c656963-876a-458d-bca6-916a42a24c1a/","id":"ab-perplexity-3c656963-876a-458d-bca6-916a42a24c1a","injection_flag":false,"last_seen_at":"2026-10-28T19:30:10Z","location":"San Francisco; Palo Alto; New York City; United States","published_at":"2025-09-19T17:05:52Z","regions":["north_america"],"remote":"onsite","role_family":"ml","salary":{"currency":"USD","max":405000,"min":220000,"period":"year","source":"structured"},"seniority":"unspecified","stack":["python","llm"],"stack_mentioned":[],"title":"Member of Technical Staff (Software Engineer, Applied AI)","untrusted_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.\n\nKey Responsibilities\n\n- Apply state-of-the-art ML and LLM techniques to solve problems spanning:\n\n- Personalization (LLM memory, context summarization, retrieval and ranking);\n\n- Contextual recommendations and Monetization applications\n\n- Build frontier agent capabilities on top of Perplexity Computer\n\n- Build auto research harness for both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact.\n\n- 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.\n\n- Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements.\n\n- Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle.\n\nPreferred Qualifications\n\n- 5+ years experience building and shipping robust AI products for large-scale, user-facing or data-driven products.\n\n- Strong software engineering skills (Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large scale parallel developments.\n\n- In-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring/improvement.\n\n- Proven collaborator and communicator; excels in high-velocity, cross-functional teams.\n\n- Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI.\n\n- BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience).\n\nBonus Points For\n\n- Experience with LLM context engineering or harness engineering.\n\n- Experience in mid-training or post-training frontier open source models\n\n- Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).","url":"https://jobs.ashbyhq.com/perplexity/3c656963-876a-458d-bca6-916a42a24c1a"}