Overview
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 c
Full 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).
Tips for this job
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
laptop-ats-crawler v3
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
perplexity (ashby) ↗Browse current Job and Scholarship listings from perplexity (ashby) →
