All roles / Perplexity / Member of Technical Staff (Answer Quality & Evals)

Member of Technical Staff (Answer Quality & Evals)

Evals & Benchmarks6mo ago

Source verified: this exact posting was present on Perplexity’s careers feed on 2026-10-20. View employer source →

What the posting asks for

Names: SQL, Python, Snowflake, Databricks
Doctorate: Not mentioned

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

The role

Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search systems, datasets, and models work together to create the best possible experience for our users.

As our product and agent capabilities evolve, we need evaluation systems that are fast, reliable, production-faithful, and actionable. In this role, you will build and improve the technical foundations that support Answer Quality across Perplexity. This includes our shared evaluation infrastructure and the platform used to replay and analyze agent traces. You will work closely with data scientists, engineers, and product teams to identify quality problems, measure their impact, and turn evaluation findings into product improvements.

Responsibilities

Build shared evaluation infrastructure that helps teams run reliable evals, analyze results, and make product and model decisions
Develop the platform for replaying and analyzing agent traces to reproduce production behavior and diagnose failures
Build and operate scalable systems for processing, storing, and monitoring interaction, trace, and evaluation data
Partner with data scientists, engineers, and product teams to turn answer-quality problems into evaluations, analyses, and product improvements
Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality

Qualifications

4+ years of software, data, or machine learning engineering experience shipping and operating production systems
Strong proficiency in Python and SQL, with solid fundamentals in system design, data modeling, and distributed systems
Experience building big-data systems, including distributed compute, large-scale storage, and high-volume pipelines
Demonstrated ownership of ambiguous technical projects from initial design through production operation
Ability to work effectively with data scientists, engineers, and product partners

Preferred Qualifications

Experience building evaluation, experimentation, observability, or machine learning infrastructure
Familiarity with LLM and agent systems, including tool use, execution traces, replay, and simulation
Experience building on top of large-scale data processing platforms such as Databricks, Snowflake, or ClickHouse

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 190 days, which is longer than most. Of the 139 evals and benchmarks roles this board has watched from listing to removal, 86% were gone from their employer's careers page by day 190, and the median came down after 56 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 14 roles open on this board, 9 of them in evals and benchmarks.

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