Senior Fullstack Engineer - Search & Discovery We're building the future of AI-powered interactive entertainment. 13M+ users, billions of messages, 90+ minute average daily engagement. Our users will define the genre. The Problem Bunch of user generated content. No good way to find stuff you’ll enjoy the most. You'll build the search and recommendation system that changes this. What You'll Build Revamp search bar with better full text search and autosuggestions Recommendation algorithms trained on billions of user interactions ML pipelines for content understanding and moderation (clavata.ai) Infrastructure to handle our growth (Elasticsearch, Kubernetes, real-time data processing) Requirements 2+ years shipping consumer products Deep Elasticsearch and search system experience Proven work with recommendation algorithms Message queue systems (NATS/BullMQ/RabbitMQ) Experience with PostgreSQL ML fundamentals and implementation skills Can deploy and debug in production Proficient English skills Why This Matters You're not optimizing ad clicks. You're helping millions of people find stories and connections that matter to them. Our users love this platform - help them discover more of what they love.

高级全栈工程师 - 搜索与发现方向 我们正在构建未来AI驱动的互动娱乐平台。拥有超过1300万用户、处理数十亿条消息、用户日均使用时长超90分钟。我们的用户将定义这一品类。 核心问题 平台拥有大量用户生成内容，但缺乏有效方式帮助用户发现其最感兴趣的内容。您将构建改变这一现状的搜索和推荐系统。 您将负责 重构搜索框，实现更优全文搜索和自动补全功能 基于数十亿用户交互数据训练推荐算法 搭建用于内容理解与审核的机器学习流水线（clavata.ai） 建设支撑业务增长的基础设施（Elasticsearch、Kubernetes、实时数据处理） 任职要求 2年以上消费者产品开发经验 精通Elasticsearch及搜索系统架构 具备推荐算法实战经验 熟悉消息队列系统（NATS/BullMQ/RabbitMQ） 拥有PostgreSQL使用经验 掌握机器学习基础原理及落地能力 具备生产环境部署和故障排查能力 熟练的英语沟通技能 此职位的意义 您的工作并非优化广告点击，而是帮助数百万用户发现与他们产生共鸣的故事和连接。我们的用户深爱这个平台——请帮助他们探索更多所爱。