Perplexity

Member of Technical Staff (Software Engineer, Applied AI)

Perplexity
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11 months ago
Palo Alto, CA, USA +2 moreSenior
H1B Sponsor

Base Salary

$220k - $405k/yr

Responsibilities

  • Develop frontier context-layer applications and agent capabilities on top of Perplexity Computer.
  • Apply machine learning and large language model techniques to personalization, memory, context summarization, retrieval, ranking, recommendations, and monetization applications.
  • Build automated research and experimentation harnesses for offline and online techniques, including quality and impact metrics.
  • Own the model lifecycle from research to production, including data analysis, modeling, evaluation, A/B testing, monitoring, and iterative improvement.
  • Collaborate with engineers, product managers, data scientists, and designers to deliver meaningful product improvements.
  • Evaluate and incorporate emerging AI and machine learning research and algorithms into the product lifecycle.

Requirements

  • 5+ years of experience building and shipping robust AI products for large-scale, user-facing or data-driven products.
  • Strong software engineering skills in Python and experience with production-quality codebases and agentic coding tools.
  • Experience across the full AI lifecycle, including data analysis, rigorous evaluation, and ongoing monitoring and improvement.
  • Bachelor’s, master’s, or doctoral degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Experience collaborating in high-velocity, cross-functional teams and communicating effectively.
  • Experience with LLM context engineering or harness engineering is a bonus.
  • Experience in mid-training or post-training frontier open-source models is a bonus.
  • Experience with large-scale user-centric and content-centric personalization, including user modeling, retrieval, and content ranking, is a bonus.
Perplexity

About Perplexity

201-500 employees

The most powerful answer engine. Powering curiosity with answers backed by up-to-date sources. This is where knowledge begins.