技术成员（机器学习工程师，搜索）
Member of Technical Staff (Machine Learning Engineer, Search)
Perplexity 正在寻找一位经验丰富的机器学习工程师，帮助构建下一代先进的搜索技术，重点在于检索和排序。
职责
- 不断推动搜索质量提升——通过模型、数据、工具或其他可用手段
- 设计并构建我们搜索平台和模型栈的核心组件
- 训练和评估检索、排序和分类模型，包括大语言模型（LLM）
- 以可扩展且高效的方式部署模型——从增强模型到 LLM
- 构建和优化 RAG 流水线，用于知识定位和答案生成
- 与数据、AI、基础设施和产品团队协作，确保快速且高质量的交付
要求
- 对搜索和检索系统有深入理解，包括质量评估原则和指标
- 在大规模搜索或推荐系统方面有实际成果
- 自驱力强，具有强烈的主人翁意识和执行力
- 至少 5 年在搜索或推荐系统相关项目上的工作经验
查看英文原文
Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking.
Responsibilities
- Relentlessly push search quality forward—through models, data, tools, or any other leverage available
- Architect and build core components of our search platform and model stack
- Train and evaluate retrieval, ranking and classification models, including LLMs
- Deploy models - from boosting to LLMs - in a scalable and performant way
- Build and optimize RAG pipelines for grounding and answer generation
- Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery
Qualifications
- Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
- Proven track record with large-scale search or recommender systems
- Self-driven, with a strong sense of ownership and execution
- Minimum of 5 years of working on search or recsys-related projects