All roles / Perplexity / Member of Technical Staff (Software Engineer, Applied AI)

Member of Technical Staff (Software Engineer, Applied AI)

Post-Training & RL13mo ago

Source verified: this exact posting was present on Perplexity’s careers feed on 2026-10-09. View employer source →

What the posting asks for

Names: Python
Doctorate: Mentioned, without saying whether it is needed
Experience: 5+ years asked for

Read out of the employer's own description. Absence means the posting does not say, not that the answer is no.

The role

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).

Published by Perplexity on their own careers page and reproduced here unedited. Read it at Perplexity.

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What this listing does not tell you

Listed 385 days, which is longer than most. Of the 40 post-training and RL roles this board has watched from listing to removal, 100% were gone from their employer's careers page by day 385, and the median came down after 110 days. That is a description of other listings that have already ended, not a prediction about this one: this board records when a listing disappears, never why, and a posting still up is not on a clock it can see.

Perplexity has 13 roles open on this board, 2 of them in post-training and RL.

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