Member of Technical Staff (Software Engineer, Applied AI)

Responsibilities

• Apply state-of-the-art ML and LLM techniques to solve problems in personalization, contextual recommendations, and monetization
• Build frontier agent capabilities on top of Perplexity Computer
• Build auto research harnesses for offline and online techniques, designing experiments and metrics
• Own the entire model lifecycle from research to production, including data analysis, modeling, evaluation, and A/B testing
• Collaborate cross-functionally with engineers, PMs, data scientists, and designers
• Evaluate and incorporate emerging research and algorithms into the product lifecycle

Requirements

• 5+ years experience building and shipping robust AI products for large-scale, user-facing or data-driven products
• Strong software engineering skills in Python and production-quality codebases
• 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
• BS, MS, or PhD in Computer Science, Engineering, or related field

Preferred Qualifications

• 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