工作内容： 1.负责产品的规划、商业化设计，负责产品的需求分析、产品设计、开发和测试，确保产品按时上线并达到预期效果； 2.负责产品的日常运营和维护工作，包括用户增长、留存、活跃度维护、数据分析等，制定并实施社交产品运营策略，提高产品的用户体验和用户满意度； 3.制定产品的商业化策略，包括广告变现、付费功能、会员服务等，确保产品的商业化成功； 4.持续跟进分析产品的全生命周期数据，基于数据提出可优化方案，不断提升用户体验和变现效率。 任职要求： 1.本科及以上学历，5年以上社交产品工作经验； 2.熟悉社交产品的设计、开发、运营和商业化流程，有社交产品商业化经验者优先； 3.具备较强的数据分析能力和产品分析能力，良好的团队合作能力和项目管理能力。

职位描述： 1.负责Olares的需求沟通、后端研发与文档编写工作 任职要求： 1. 熟悉Java语言，具备扎实的Java基础，有扎实的计算机基础和编程功底 2. 熟练使用Spring、SpringBoot等框架，并对框架原理有一定了解 3. 熟悉微服务以及有线上项目微服务经验 4. 熟悉容器、K8S等使用或有相应开发经验

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. At DataVisor, we are working hard to find excellent web front-end engineers who can constantly challenge ourselves and surpass ourselves. We hope that candidates have a solid development foundation and broad front-end or full-stack development experience. Mature experience in front-end framework, early start-up technology company experience is preferred, we look forward to furthering communication with you! Responsibility: 1. Develop DataVisor user analysis interface, including data visualization and database interface functionality, and complete the development efficiently tasks; 2. Constantly participate in the development of the Web front-end, back-end development, API interface, etc. of the DataVisor big data analysis platform; 3. Focus on business, business goals, and exert self-creativity and productivity to achieve business needs. Requirements 1. Minimum two years of web development experience, proficient in HTML, CSS, Javascript, Typescript and other related knowledge 2. Minimum two years of experience in front-end frameworks (such as Angular, React), etc., experience in data visualization is preferred 3. Familiar with web testing framework, Java Selenium, experienced in write E2E test cases/test suites and Unit Test for frontend code, and also to be able to extend existing applications and have certain experience in performance tuning 4. Experienced in Java/Spring programming, familiar with Web back-end development, and big data analysis experience is preferred. 5. NodeJS server-side development, database interface development experience, and SQL proficiency are preferred. 6. Proficiency in using git, Jenkins and other tools 7. Good English reading and writing skills, good at communication 8. B.S is required Benefits We offer a flexible schedule with competitive pay, equity participation and health benefits, along with catered lunch, company off-sites, and game nights, as well as the opportunity to work with a world class team.

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

职位职责： 1、负责抖音电商账号安全及机刷策略运营工作，设计并落地风险发现到处置效果追踪整体的解决方案，为风控提供基础识别及前置拦截能力； 2、深入了解电商业务形态及特性，定义风险场景，明确风险水位及管控目标，平衡风险与业务收益； 3、深入研究黑灰产作恶方式，对于商家/达人/消费者不同的角色的作恶情况制定有效的预防及管控措施； 4、协调横向团队，与产品、研发、算法协同落地防控方案，完善风控体系；同时与法务、PA、PR等团队协作，对作恶团伙有效打击。 职位要求： 1、3年以上风控策略相关工作经验，有账号安全或设备风控经验者优先； 2、熟练掌握数据分析工具，具备较强的数据运营及分析能力，熟练使用Hive/R/Python等，有实际风控算法或策略经验者优先； 3、拥有良好的沟通能力，能够跨团队沟通风控运营工作，主动推动项目进展，取得预期结果； 4、具备良好的问题解决能力，能够快速分析和解决复杂的风控问题。

职位职责： 1、为支付相关产品（如数字钱包、结账流程、支付设置等）设计关键动效，包括页面转场、微交互、加载反馈、提示引导等； 2、参与设计系统中动效规范的构建与迭代，提升产品整体体验一致性和品牌识别度； 3、与产品经理、交互设计师、开发工程师密切合作，将动效设计无缝嵌入用户体验流程中； 4、制作用于产品展示、用户教育、首次引导等场景的动画内容； 5、探索不同文化/市场用户对动效的接受度与偏好，制定更具本地化的动效策略； 6、关注产品性能与技术实现限制，推动Lottie、Rive等轻量动效方案落地。 职位要求： 1、本科及以上学历，动画设计、视觉传达、交互设计、多媒体艺术等相关专业优先； 2、2年以上数字产品动效设计经验，有金融科技类产品（如支付、钱包、交易等）经验者优先； 3、熟练掌握After Effects、Figma、Principle、Lottie、Rive、Spline等动效设计工具中的两种以上，具备系统的动效设计思维，理解节奏、缓动、视觉引导、层级传达等核心原则； 4、有良好的审美与视觉基础，注重细节，能与视觉/UI设计保持风格统一； 5、具备良好的沟通与协作能力，能够与多地跨职能团队高效协作； 6、具备一定的前端动效实现经验或了解Lottie JSON、CSS动画原理者优先。

职位职责： 1、负责抖音电商账号安全及机刷策略产品工作，设计并落地风险发现到处置效果追踪整体的解决方案，为风控提供基础识别及前置拦截能力； 2、深入了解电商业务形态及特性，定义风险场景，明确风险水位及管控目标，平衡风险与业务收益； 3、深入研究黑灰产作恶方式，对于商家/达人/消费者不同的角色的作恶情况制定有效的预防及管控措施； 4、协调横向团队，与产品、研发、算法协同落地防控方案，完善风控体系；同时与法务、PA、PR等团队协作，对作恶团伙有效打击。 职位要求： 1、3年以上风控策略/产品相关工作经验，有账号安全或设备风控经验者优先； 2、熟练掌握数据分析工具，具备较强的数据运营及分析能力，熟练使用Hive/R/Python等，有实际风控算法或策略经验者优先； 3、拥有良好的沟通能力，能够跨团队沟通风控运营工作，主动推动项目进展，取得预期结果； 4、具备良好的问题解决能力，能够快速分析和解决复杂的风控问题。

职位职责： 1、负责抖音电商数据安全治理工作，评估数据安全水位，监控、分析数据异常，防范潜在的网络攻击； 2、负责安全产品设计及落地，协同研发、算法等协同部门落地安全专项，完成风险识别召回和拦截策略的测试、优化和上线； 3、负责安全标准制定、安全评审和风险评估，及时发现和解决安全风险，数据泄露案件分析溯源。 职位要求： 1、具备网络安全、数据保护的专业知识，有电商经验者优先； 2、具备优秀的分析和问题解决能力； 3、有良好的沟通能力，能推动项目进展，拿到预期结果。

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：国际支付，立足于为字节跳动国际化业务提供专业的支付和金融服务，专注于全球支付产品线的质量和效率，确保为国际产品提供高度可靠和稳定的服务，建立海外支付产品和能力，同时在高效助力业务快速拓展的同时，打造行业领先的支付和金融产品能力。团队当前所提供的产品和服务，遍布全球多个国家和地区，团队拥有丰富的国际化产品研发经验；同时这里有全球超大规模的支付网络；覆盖多业务场景的海外钱包及金融产品解决方案；围绕分布式一致性、高并发、高可用、资金安全在内的核心技术能力攻坚；LLM等前沿AI技术在支付&金融服务中的探索、研发和应用。另外，我们在全球设立团队，团队同学背景多元，不同的思维方式，打造了一个多元、碰撞、融合、包容的工作环境。我们邀请你来此成长、专研，发掘无限的潜力，一起应对技术和业务以及跨国合作上的挑战，还有跨文化交流机会在等你！ 1、协助监控、分析人审数据波动（熟练使用SQL），根据历史人审率以及申请率给出量级测算； 2、基于当前各个国家各个场景的案件调查SOP，结合本地化场景，迭代SOP； 3、协助从各维度搭建人审效能看板，及时发现异常并监督BPO调整。 职位要求： 1、本科及以上学历在读； 2、良好的自我驱动力，对业务有热情、有好奇心； 3、逻辑清晰，具有良好的问题分析能力和问题解决能力； 4、出色的沟通和团队合作能力，能够与多个团队紧密协作； 5、每周可实习4天及以上，可实习3个月及以上。

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：国际支付，立足于为字节跳动国际化业务提供专业的支付和金融服务，专注于全球支付产品线的质量和效率，确保为国际产品提供高度可靠和稳定的服务，建立海外支付产品和能力，同时在高效助力业务快速拓展的同时，打造行业领先的支付和金融产品能力。团队当前所提供的产品和服务，遍布全球多个国家和地区，团队拥有丰富的国际化产品研发经验；同时这里有全球超大规模的支付网络；覆盖多业务场景的海外钱包及金融产品解决方案；围绕分布式一致性、高并发、高可用、资金安全在内的核心技术能力攻坚；LLM等前沿AI技术在支付&金融服务中的探索、研发和应用。另外，我们在全球设立团队，团队同学背景多元，不同的思维方式，打造了一个多元、碰撞、融合、包容的工作环境。我们邀请你来此成长、专研，发掘无限的潜力，一起应对技术和业务以及跨国合作上的挑战，还有跨文化交流机会在等你！ 1、协助监控、分析人审数据波动（熟练使用SQL），根据历史人审率以及申请率给出量级测算； 2、基于当前各个国家各个场景的案件调查SOP，结合本地化场景，迭代SOP； 3、协助从各维度搭建人审效能看板，及时发现异常并监督BPO调整。 职位要求： 1、本科及以上学历在读； 2、良好的自我驱动力，对业务有热情、有好奇心； 3、逻辑清晰，具有良好的问题分析能力和问题解决能力； 4、出色的沟通和团队合作能力，能够与多个团队紧密协作； 5、每周可实习4天及以上，可实习3个月及以上。

职位职责： 1、内部众包流程搭建与优化，设计并落地高效的内部众包作业流程，涵盖任务分配、进度跟踪、交付管理等环节，依据业务变化及反馈持续优化流程，确保内包工作流畅、高效运转，提升整体作业效率至少30%； 2、质量保障机制构建，制定全面的数据标注及处理质量标准，搭建多层级质检体系，引入抽检、互检及专家编审机制，实时监测质量数据，分析质量波动原因，快速调整策略，保障交付数据准确率达95%以上； 3、定价逻辑制定与管理，研究市场行情、项目复杂度、人力成本等因素，制定合理的内包任务定价逻辑，定期编审定价策略，确保其在保障成本效益的同时对内包人员具备吸引力，促进任务高效完成，根据项目紧急程度、难度系数等灵活调整定价，平衡成本与效率。 职位要求： 1、本科及以上学历优先，专业背景不限； 2、2年以上数据运营、众包管理或相关领域工作经验、有大模型数据运营项目经验者优先； 3、工作严谨细致，有强烈的责任心与数据安全意识，具备良好的团队合作精神及问题解决能力优先。