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Member of Technical Staff (Software Engineer, Desktop Apps)

Member of Technical Staff (Software Engineer, Desktop Apps)

Perplexity

Full-time · Staff

At a glance on RemoteAI

  • 5 reviewed professionals on RemoteAI match this role at 70% or more.
  • Machine Learning : 228 of 3,363 reviewed AI professionals on RemoteAI list it (7%) — the most common skill this role asks for.
  • TypeScript: 20 of 3,363 reviewed AI professionals on RemoteAI list it (1%).
  • Perplexity has 13 other open roles on RemoteAI.

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About the role

Perplexity is looking for experienced Generalist Software Engineers to join our Perplexity and Comet application teams. Our team is reshaping knowledge work through our high-impact desktop and Comet apps. The ideal candidate should have strong programming skills and multiple years of experience shipping high-quality, production software.

Our stack spans several different skillsets, including Rust, Kotlin, Swift, Typescript, Chromium and Perplexity’s core AI stack. We have found that our strongest engineers are capable of working across multiple codebases and ramping up quickly, and we expect the same high bar for candidates.

Responsibilities

  • Work closely with product teams to implement novel mobile experiences.

  • Work closely with design teams to design fast and intuitive UI.

  • Utilize Perplexity Computer and other Agentic coding tools to accelerate development.

  • Collaborate with data science and machine learning teams to instrument, analyze, and improve the end-to-end experience.

  • Work with infrastructure and QA teams on deployment processes, including testing, release, and monitoring.

Requirements

  • 4+ years industry experience

  • Experience in shipping high-quality native applications

  • Architecture experience in writing code understandable by both agents and humans

  • Deep understanding of app performance

  • Ability to own projects and surfaces, and to push them forward proactively

Job Type

Full-time

Level

Staff

Language

English

Timezone

—

Skills

machine learning typescript

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