岗位职责： 1.负责Android平台客户端基础设施搭建，功能模块编码； 2.能独立承担想个项目的设计研发； 3.依据项目进度与需求实现软件功能； 4.规范文档的编写、维护及其他与项目相关的工作； 5.代码维护，Bug修改，性能优化。 任职要求： 1.计算机相关专业5年以上工作经验，具备Android平台开发经验，掌握Java各种主流框架及技术； 2.了解Android系统体系结构，熟悉Android应用程序设计，包括UI、网络等方面； 3.熟悉Android下网络通信机制，对Socket通信、MQTT通信、TCPIP和http有一定理解和经验，熟悉Android平台下的多线程； 4.熟练使用Android Studio或Eclipse软件开发工具； 5.熟悉现有Android设备，熟悉移动设备的开发特点，性能调优； 6.有手机移动相关app独立开发项目经验者或参与多个项目开发者优先； 7.有较强的责任感、团队感，具有程序员精神，主动、卓越、合作、敬业； 8.学习能力强，有创造性思维能力和表达能力； 9.会Flutter优先，有直播相关开发经验优先。

工作职责 ● 负责公司所有美术资源的管理和外包提交对应接口 ● 负责对已有美术资产进行归类整理，方便快速查找与索引 ● 协助美术负责人与项目经理，管理美术资源进度与项目人力配置 职位需求 ● 高度熟悉大型游戏的美术开发流程 ● 了解3DsMax、Maya、MotionBuilder、Unreal Engine等工具 ● 熟练使用Excel、Word、PowerPoint等办公软件，精通常用项目管理软件 ● 行事利落，条理清晰，心细麻利，积极主动，有责任心 ● 本科以上学历，能够熟练处理英文文档 ● 工作经验1-3年，有美术团队项目管理岗位经验者优先 ● 热爱PC/主机游戏优先

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering the total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us! Requirements: 5+ years software development experience 5+ years experience in Java, Shell, Python development Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus. Experience in the Spring Framework is a plus Experience with test-driven development is a plus

What you'll do: Design and build machine learning systems that process data sets from the world’s largest consumer services Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters Build and optimize systems, tools, and validation strategies to support new features Help design/build distributed real-time systems and features Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink) Requirement: 1:5+ years software development experience 2:5+ years experience in Java, Shell, Python development 3:Excellent knowledge of Relational Databases, SQL and ORM 4:technologies (JPA2, Hibernate) is a plus 5:Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus. 6:Experience in the Spring Framework is a plus 7:Experience with test-driven development is a plus

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us! The software engineer - infrastructure team is the backbone of DataVisor. Without our distributed and highly robust systems, business would stop. We tackle important challenges: clients require sub-second response times while we find relationships in terabytes of data. We’ve created, and continually improve, our massive cluster infrastructure, allowing highly computationally expensive jobs to run smoothly. We love using and learning a 2+ years experience with infrastructure software engineering or production system operation experiences 2+ years experience with Amazon Web Services or other cloud service providers Strong understanding of the Linux environment and systems configurations Experience with Java and Python Experience with Kubernetes, docker Has basic knowledge about networking Open to work remotely Experience with Apache Spark, Cassandra, Flink Experience with Grafana, Loki, ELK

As platform engineers, we are building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process. As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time. The platform team is responsible for developing the architecture that makes real-time UML possible. We are looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable our detection capabilities. We continue to push the boundary of what's possible in fraud detection and data processing at scale. Join us to help usher in more innovative solutions to the fraud detection space. What you'll do: Design and build machine learning systems that process data sets from the world’s largest consumer services Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters Build and optimize systems, tools, and validation strategies to support new features Help design/build distributed real-time systems and features Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink) Requirements： 5+ years software development experience 5+ years experience in Java, Shell, Python development Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus. Experience in the Spring Framework is a plus Experience with test-driven development is a plus

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real-time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide a guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering the total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Summary: As platform engineers, we are building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process. As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time. The platform team is responsible for developing the architecture that makes real-time UML possible. We are looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable our detection capabilities. We continue to push the boundary of what's possible in fraud detection and data processing at scale. Join us to help usher in more innovative solutions to the fraud detection space. What you'll do: 1. Design and build machine learning systems that process data sets from the world’s largest consumer services 2. Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters 3. Build and optimize systems, tools, and validation strategies to support new features 4. Help design/build distributed real-time systems and features Use big data technologies (e.g. Spark, Flink, Cassandra) to build large scale machine learning pipelines 5. Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink) 6. Manage and coach team members Requirements: 5+ years of software development experience 5+ years of experience in Java/C++ development 1+ year of team management Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus. Experience in the Spring Framework is a plus Experience with test-driven development is a plus

Keeta is an independent brand of Meituan, the world's largest tech-driven retail company. We focus on food and consumer product delivery services in international markets with the mission: "We help people eat better, live better". Established in March 2010, Meituan has helped transform the supply and demand of service and product retail across the digital landscape. As Meituan and Keeta continue to increase R&D investment and advance in new technologies, we uphold a customer-centric approach, working with our partners to provide quality services to customers. 岗位职责 1.进行市场研究，深入了解行业规则和市场态势，紧跟市场动向，为业务管理者提供行业预判； 2.进行业务经营数据分析工作，总结业务规律，发现业务问题，提出解决策略，推进业务问题改善； 3.制定业务短中长期规划、制定目标，通过目标杠杆确保业务在轨道上快速发展； 4.制定配送业务运营策略，根据业务不同阶段需求快速调整策略，助力业务快速发展。 岗位基本需求 1.3至4年工作经验，有管理咨询、O2O、电商、即时配送物流等相关行业商业分析经验； 2.具备项目管理和跨部门合作能力，能够完成项目的规划和执行； 3.善于独立思考，热爱创新，喜欢钻研，拥有较强的学习兴趣，能快速熟悉陌生工作领域； 4.逻辑清晰，思维框架完整，具备优秀的数据分析能力，熟悉常用统计理论与分析方法，从数据中发现业务痛点并提出应对策略； 5.具备较好的口头和书面沟通能力； 6.自我驱动力极强，韧性极强，积极主动且善于团队合作。 具备以下者优先 1.具有境外经验者优先； 2.英语可作为工作语言者优先。 岗位亮点 境外业务为美团探索境外市场的先锋力量，在这里既可以快速学习到先进外卖配送经验、经历新业务从0到1的过程，还可以积累宝贵的境外业务经验。个人能力积累方向更为全面，且未来职业发展的机会更多。欢迎对外卖配送、O2O、境外业务感兴趣的人才加入~

招聘人数：2 工作内容：奶茶制作 每月薪资：3000到5000 职位福利：加班补助 学历要求：不限 工作年限：不限 任职要求：普通话流利，能吃苦耐劳，肯学习并服从管理即可 报名方式：请直接投递简历报名或来电咨询报名。

职位职责： 日常实习：面向全体在校生，为符合岗位要求的同学提供为期3个月及以上的项目实践机会。 团队介绍：字节跳动开发者AI团队致力于探索AI技术在研发体系上应用和落地，覆盖场景包括AI for Code、AI在DevOps全流程中的落地，团队包括产品、工程、算法和研究人员多个角色，期待对大模型、研发工具体系有兴趣、对技术有追求的同学加入，共同成长！ 1、构建自动化链路，提升和保障LLM for Code应用的数据质量； 2、参与模型的Prompt设计和优化工作，提高LLM for Code应用的端到端效果； 3、配合完成LLM for Code方向前沿技术调研。 职位要求： 1、本科及以上学历在读，计算机、软件工程、人工智能等相关专业优先； 2、具有扎实的数据结构和算法功底，编码能力强悍，有编程竞赛（ACM/NOI/Topcoder/CodeForce）经验； 3、优秀的分析问题和解决问题的能力，保持对新事物的持续学习和好奇心，对解决挑战性问题充满激情； 4、良好的团队合作精神，能够积极主动地与团队成员沟通和协作； 5、一周4天及以上，需持续实习3个月及以上。

1，短视频发布推广 2，公司提供素材， 3，居家兼职办公，有无经验均可 4，薪资日结

【硬性技能要求：熟练运用相机等电子设备、剪辑软件】 一、内容创作与策划 1.深入了解行业动态和热点话题，结合公司产品或服务特点，撰写高质量、有吸引力的文案，包括文章、视频脚本、广告语等，以提高用户关注度和粘性。 2.策划并执行内容营销活动，如线上互动、话题讨论、投票等，提升用户参与度和品牌知名度。 二、拍摄与剪辑工作 1.根据内容规划，独立完成视频拍摄工作，包括但不限于场景布置、灯光设置、镜头运用等，确保视频画面质量高、视觉效果好。 2.熟练使用视频剪辑软件，对拍摄素材进行剪辑、配音、添加字幕和特效等后期制作，制作出富有创意和吸引力的视频内容。 3.对音频素材进行剪辑和处理，保证音频质量，使其与视频内容完美匹配，提升整体视听体验。 三、新媒体平台运营与推广 1.分析新媒体平台的数据，如阅读量、点赞数、评论数、转发数等，根据数据反馈优化内容和运营策略，提高内容传播效果和用户转化率。

专科及以上学历。各种视频制作，面谈的时候说。

社区团购  配送蔬菜水果 待遇好 轻松自由 薪资发放准时稳定

岗位职责： 1. 深入理解市场需求与公司战略，牵头国内和海外演唱会的策划和落地工作，并对项目结果负责； 2. 关注国内外娱乐市场动态，分析演唱会市场趋势及市场反响，推动公司业务战略目标落地； 3. 根据公司演出项目规划，对演出项目进行执行督导和品质把控； 4. 研究市场需求和行业动态，了解目标受众的喜好和演出趋势，制定相应的演出内容策略和规划，通过创意/创新演出内容和展现形式，提升演出业务的核心竞争力和商业价值； 5. 优化内外部工作流程与成本管控机制，监测演出数据和业务表现，不断提升团队效率和整体业绩。 岗位要求： 1. 本科及以上学历，市场营销、国际商务、音乐产业管理或相关专业优先； 2. 英文可作为商务语言优先，精通第二语言，如日语、韩语等优先； 3. 8年以上相关经验，具有成功策划并执行大型演出项目的经历者优先； 4. 良好的团队合作精神和跨部门协同能力，能够在高压环境下保持高效工作，具备快速应变能力； 5. 对娱乐市场有深入了解，对市场趋势有敏锐的洞察力。