Search&Recommendation Strategy Product Manager 搜索推荐策略产品经理（UGC社区方向） Beijing Experienced Full-time Responsibilities 1. Design search and recommendation strategies for Tripo Studio, building a content discovery and distribution system for the UGC creator ecosystem and improving content relevance and user experience.2. Optimize retrieval,
Who Are We? RZR is an AI-native advertising platform built for the next era of performance marketing. We operate at the intersection of machine learning, programmatic media, and full-funnel mobile growth, powering campaigns for some of
Job TitleAI Application Architect Job Description Job title: As an important member of the R&D team, the AI Application Architect will develop, integrate, test, and maintain the AI R&D QMS Harness platform used to support controlled
Job ID 521826 Posted since 09-Sep-2026 Organization DI Automation Field of work Internal Services Company Siemens Ltd., China Experience level Recent College Graduate Job type Full-time Work mode Office/Site only Employment type Fixed Term Location(s) Beijing
Minimum qualifications: Bachelors degree or equivalent practical experience. 7 years of experience in business development, partnerships, management consulting, or investment banking. Experience in the Consumer Electronics, Auto, Original Equipment Manufacturers (OEMs), Telecom, E-Commerce/Retail, Apps, Ads, Gaming,
Overview The Microsoft Search, Assistant, and Intelligence (MSAI) team is responsible for developing and delivering innovative solutions for Microsoft 365 Copilot. We work on integrating intelligence and natural language capabilities into all the Microsoft 365 apps. Were
Senior Staff/Staff Machine Learning Engineer-BJ/SH Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of
SEO 外链专家 Beijing, Hangzhou Experienced Full-time Responsibilities 1.Develop mid-to-long term link building strategies based on business goals and Google rules, optimizing link quantity, quality, relevance and structure;2.Use Ahrefs, SEMrush etc. to discover and evaluate link resources,
Frontend / Full-Stack Developer, AI 3D Creator Ecosystem Community前端 / 全栈开发・AI 3D 创作者生态社区 Beijing Experienced Full-time Responsibilities Job Responsibilities1.Develop the Omni-channel Frontend Technology System for the 3D Creator CommunityTake charge of the construction, iteration and performance
Senior Frontend Development Engineer (Growth Vertical)高级前端开发工程师（增长方向） Beijing, Hangzhou Experienced Full-time Responsibilities Your Key Responsibilities1.Growth Business Development & SSR ArchitectureTake charge of frontend development for core growth scenarios, including Studio portal, official website, marketing landing pages, campaign
Senior Backend Engineer / Full-Stack Engineer (Creator Ecosystem Community Focus)高级后端工程师 /全栈工程师（创作者生态社区方向） Beijing Experienced Full-time Responsibilities Job Responsibilities1.Build an Omni-channel Growth Technology System for the 3D Creator EcosystemLead the construction, iteration and optimization of the core backend
Growth Product Manager 增长产品经理 Beijing Experienced Full-time Responsibilities 1. Own SEO and organic growth for the Web product, optimizing keywords, content, internal linking, and landing pages to drive organic traffic and search rankings.2. Optimize the conversion journey from
App Growth Owner APP增长Owner Beijing Experienced Full-time Responsibilities Job Responsibilities1、Based on the product stage and market environment, develop and drive the full-lifecycle growth strategy for the App, breaking down the North Star metric and stage-wise growth
我们正在寻找一位 全栈工程师，参与核心 AI Agent 产品从架构设计、能力建设到生产落地的完整过程。你将参与 Web 产品、API 服务、Agent 编排系统、后台任务系统、数据层和部署流程等多个环节，和团队一起构建面向真实生产环境的 AI Agent 产品。 你将深度参与 AI Agent 系统的工程化建设，包括 Agent Loop、工具调用、任务编排、多步骤执行、上下文管理、模型路由、异步任务处理、结果持久化、错误恢复、日志追踪与系统可观测性等关键模块。这个岗位不是简单调用大模型 API，而是需要将 LLM 能力、业务流程、前后端系统和用户体验结合起来，构建可稳定运行、可持续扩展的生产级 Agent 产品。 在这个角色中，你需要理解 Agent 如何接收用户目标、拆解任务、选择工具、执行动作、处理中间状态、根据反馈继续推理，并最终产出可靠结果。你也需要关注 Agent 执行过程中的实际工程问题，例如任务超时、工具失败、重试策略、状态一致性、成本控制、并发执行、队列调度、数据追踪以及生成结果的可复现性。 你会和产品、设计、前端、后端和基础设施团队紧密协作，把 AI 能力落到真实的产品体验中。我们希望你既能理解前端产品形态和用户交互，也能深入后端服务、数据模型、任务队列和 Agent 编排系统，帮助团队搭建长期可维护、可扩展、可观测的 AI Agent 工程体系。