远程工作雷达

技术员工(搜索质量分析师)

Member of Technical Staff (Search Quality Analyst)

其他未标注地域
公司Perplexity
薪资未公开
工作地点Belgrade / London / Berlin
地域资格未标注地域
时区要求无特别要求
用工类型FullTime
发布时间14 天前
数据来源Ashby
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Perplexity 正在寻找一位有经验的分析师,帮助我们构建和改进核心搜索技术。你将在数据分析和工程的交汇点工作——设计指标、构建数据管道,并提升我们搜索和回答系统的质量。

该职位在贝尔格莱德、伦敦或柏林为混合办公模式。

职责

- 发现并诊断搜索流程中的质量问题

- 从零开始设计指标,以跟踪和衡量搜索质量

- 构建用于模型训练的数据集,包括 LLM-as-a-judge 标注流程

- 改进搜索摘要质量和页面选择算法以用于索引

- 设计并分析 A/B 实验以验证改进效果

要求

- 4 年以上数据分析师或相关岗位的工作经验

- 强大的编码能力——能够编写达到中高级后端工程师水平的生产级代码

- 精通 SQL 和 Python

- 至少具备以下某一方面的实际操作经验:

- 从零开始设计指标(不仅仅是分析现有的 A/B 实验)

- 使用 LLM-as-a-judge 构建标注流程

- 训练已部署到生产环境的 ML 模型,并带来可衡量的指标提升

- 设计具有已知真实答案的评估(如 SimpleQA、BrowseComp)或在这些评估上推动有意义的改进

优先考虑

- 在搜索相关产品上的工作经验

- 统计学知识和 A/B 实验设计经验

- 使用 Apache Spark 或 Databricks 的经验

查看英文原文

Perplexity is looking for an experienced analyst to help us build and improve our core search technologies. You'll work at the intersection of data analysis and engineering - designing metrics, building data pipelines, and improving the quality of our search and answer systems.

This role is hybrid in Belgrade, London or Berlin.

Responsibilities

- Find and diagnose quality issues in our search pipeline

- Design metrics from scratch to track and measure search quality

- Build datasets for model training, including LLM-as-a-judge labeling pipelines

- Improve search snippet quality and page selection algorithms for indexing

- Design and analyze A/B experiments to validate improvements

Qualifications

- 4+ years of experience as a data analyst or in a related role

- Strong coding skills — expected to write production-grade code at a mid-level backend engineer level

- Proficiency with SQL and Python

- Demonstrated hands-on experience with at least one of the following:

- Designing metrics from scratch (not just analyzing existing A/B experiments)

- Building labeling pipelines using LLM-as-a-judge

- Training ML models that shipped to production with measurable metric improvements

- Designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals

Preferred Qualifications

- Experience working on search-related products

- Knowledge of statistics and A/B experiment design

- Experience with Apache Spark or Databricks

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