Key Responsibilities * Take ownership of design projects from concept to execution, ensuring alignment with project goals and user needs * Conduct user research and analysis to understand the needs, pain points, and business workflows * Create user personas, journey maps, and information architecture to guide the design process * Design wireframes, prototypes, and high-fidelity mockups for complex product interfaces and dashboards * Collaborate with BA, product managers, developers, and other stakeholders to iterate on designs and implement user-centered solutions * Well organized for all the relevant design assets and references * Conduct usability testing and gather user feedback to improve the product experience continuously * Stay up-to-date with UX best practices and emerging trends in product design * Create and maintain design systems and style guides to ensure consistency across products Requirements * Bachelor's degree or higher in UX Design, Industry Design, HCI, or related fields * 5+ years of experience in UX design, preferably in B2B or enterprise software * Strong portfolio demonstrating your design process and problem-solving skills * Proficient in Figma. Deepening understanding of Figma's capabilities, version control, and relevant design system usage * Excellent communication and collaboration skills * Understanding of IT infrastructure, cloud computing, and SaaS business models * Ability to balance user needs with business goals and technical constraints

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、负责整体画质风格把控，定义影像效果目标，能够指导效果参数调试； 2、搭建完整的图像质量评价体系和验收标准，为画质评价准确性负责； 3、负责影像评价和量测能力建设，建设兼具影像认知和技术的测试团队； 4、与产品团队合作支撑硬件、算法选型与论证工作。 职位要求： 1、本科及以上学历，数字图像处理、光学工程、颜色科学、计算机科学等相关专业； 2、从事画质评测工作，有旗舰机型交付经验、参与过DXO评测流程者优先； 3、对图像评测体系有深入研究，熟悉IQ相关测试指标和标准，熟悉DXO、Imatest、IE等图像评测流程； 4、熟悉Sensor/Lens/ISP/3A等影像软硬芯片技术原理。

岗位职责： 1、负责跨平台桌面端应用（Windows / macOS）的架构设计和功能研发； 2、参与设备通信子系统的设计与实现，确保数据传输的稳定性与安全性； 3、与产品及硬件团队协作，完成系统接口的定义与联调； 4、分析产品需求与UI交互，负责用户界面与交互体验，提升应用性能与易用性； 5、处理不同平台下的适配与兼容性问题，保障软件在多环境下的稳定运行； 6、编写相关技术文档，完成单元测试、集成测试及版本发布。 任职要求： 1、本科及以上学历，计算机相关专业，3年以上Qt开发经验； 2、扎实的C/C++编程功底，良好的设计能力和编程习惯； 3、熟练掌握Qt跨平台框架，有独立完整从需求到发布的项目经验； 4、熟练 USB 通信：虚拟串口、自定义协议或libusb使用经验； 5、熟练掌握版本控制（Git）及代码管理流程。

1、基于Java Web技术的企业级应用开发； 2、参与系统概要设计、数据库设计及系统核心编码； 3、参与需求、设计、代码及测试的评审； 4、快速，准确处理系统性能，生产等问题； 5、完成上级领导交办的工作、按时提交高质量代码，完成开发任务； 6、根据系统功能需求完成功能设计、表设计、开发方案文档及负责单元测试； 7、负责项目日常BUG排查和解决处理； 【岗位要求】 1、扎实的计算机基础，本科及以上学历，计算机软件相关专业，2年以上java项目实战经验； 2、熟悉并使用Js、Jquery、Css、Jsp、Ajax、Json、Echarts等前端框架； 3、熟悉使用Tomcat/Eclipse/IDEA/SVN/Maven等工具的使用； 4、熟悉B/S架构，SpringMVC、MyBatis、JavaScript、Spring等常见开发技术，熟练使用Maven等项目构建工具，熟悉软件开发工程及设计模式； 5、掌握J2EE核心技术（包括JDBC、Java-mail、JMS、JSP、XML、Servlet、POI等）； 6、熟悉使用Linux操作系统并能完成系统部署； 7、能够参与撰写、整理设计和开发文档； 8、有较强的性能优化及问题排查、解决能力，能承受较强工作压力，责任心、计划执行能力强； 9、力和较强的团队合作意识；做事积极主动，勤奋好学，对互联网技术敏感，了解互联网最新技术； 10、有Activiti工作流实际开发经验优先、有过OA、CRM实际开发经验优先； 11、有金融相关系统经验优先； 【薪资待遇】 8k-15k，五险一金，

艺术中心招聘新媒体兼职 硬性​要求： 美术油画国画相关专业在校生 具备稳定的工作时间 文笔好，图片处理，视频剪辑 熟练应用抖音、小红书、视频号、公众号 对油画国画有较为深入的研究 ​具备一定的艺术作品鉴赏能力 ​​要求在成都，远程办公

【岗位职责：】 1、根据公司的业务规划，结合对市场及同类产品的分析，制定产品的需求文档，并制定产品的开发计划； 2、协调工程设计和测试方案，制定工作分解，计划，进度和预算，并定期召开团队和技术会议，跟进进度和解决问题； 3、协调外部资源（外包研发、OEM工厂），并与内部资源（终端软件研发，SaaS平台研发）合作，管理端到端的新产品的开发过程，确保产品成功导入量产； 4、维护供应商体系，保证良好的沟通和配合关系；与采购部对接共同寻找供应商，对供应商的资质、方案、成本等进行评估，选择合适的供应商。 5、制定产品的验收标准，审核供应商的设计文档及生产过程文件，帮助供应商提升质量控制能力； 6、起草产品定义，说明书，培训材料等，对内部团队及客户进行培训，提高内部团队的工作效率及客户对新产品的认可度。 【任职要求：】 1、本科以上学历，5年以上相关工作经验； 2、有独立负责某个产品从规划设计到上线发布的券过程产品管理经验； 3、具备良好的逻辑思维能力、团队沟通协作能力及项目管理能力； 4、熟悉CAD、Soildworks或其他三维设计软件优先。

运营专员岗位职责 1、负责客服咨询与问题处理。 2、跟踪用户反馈，及时调整运营策略。 3、定期整理运营数据，形成分析报告。 4、根据行业特性设计裂变营销路径和社交传播机制，拟订相应的裂变活动。 5、优化用户增长策略，制定用户增长目标计划。 6、分析竞品增长策略，制定差异化竞争方案。 7、定期向管理层汇报运营成果，提出优化建议。

【岗位职责】: 1、参与Android移动终端安全SDK的安全技术研究或产品研发。 2、参与移动切面、平行空间等安全技术的研究或产品研发。 3、参与数据防爬、监管合规、数据安全保护、终端应用防护等业务的技术支撑。 【任职要求】: 1、深入理解计算机体系结构和操作系统原理，对Android底层原理、驱动有较深刻理解。 2、熟悉C/C++/Java并至少精通其中一种。 3、熟悉常见的注入、HOOK、ROOT等原理与防御方法，有程序逆向或app分析经验者优先。 Base地可选：北京、上海。

职位职责： 1、负责制定英国商城的商品与类目增长年度策略，推动爆款打造与重点类目发展，对爆品规模及类目GMV增速负责； 2、基于业务发展阶段与市场洞察，搭建科学的供给分析体系，设计类目优先级、商品筛选标准与效果评估机制，落实成长路径策略； 3、协同流量产品与算法团队，围绕核心目标构建流量扶持与退出机制，设计护栏指标，保障整体流量投入产出效率； 4、与行业运营及战略团队协作，针对跨境与本地卖家设计差异化类目增长目标与关键里程碑，通过目标管理、选品机制与专项复盘推动目标达成。 职位要求： 1、本岗位长期工作地点为英国伦敦，成功的候选人须有意向长期在伦敦办公； 2、有电商平台行业策略、货品策略、行业战略经验，熟悉欧美市场优先； 3、具备较强的沟通、执行统筹、项目管理能力，学习自驱能力强，能适应快节奏的工作环境； 4、喜欢了解接受新鲜事物，兴趣广泛，对营销热点及用户消费趋势敏感度高。