职位职责： 我们正在寻找AI/ML技术的技术专家，包括计算机视觉(CV)，自然语言处理(NLP)和音频信号处理。您将负责与各种利益相关者(产品、运营、政策和工程)合作，并开发最先进的模型。 1、利用自然语言处理、机器学习或计算机视觉等内容理解能力设计和构建产品核心能力，提取数据洞察并优化变现策略； 2、基于最新的深度学习、机器学习、统计和优化技术的算法开发创新性解决方案并构建业务问题原型； 3、从0到1管理数据项目，并与产品经理协作定义用户故事和成功指标来指导开发过程； 4、使用不限于AB测试等方法验证项目的商业价值和预计收益； 5、与工程团队合作部署数据模型并将解决方案规模化。 We are looking for generalists and specialists in AI/ML techniques, including computer vision (CV), natural language processing (NLP), and audio signal processing. You will be responsible for partnering with a variety of stakeholders (product, operations, policy, and engineering) and developing state-of-the-art models. 1. Design and build core capabilities by leveraging content understanding; capabilities, such as natural language processing, machine learning, or computer vision, to extract insights and improve monetization strategies; 2. Develop creative solutions and build prototypes for business problems using algorithms based on the latest deep learning, machine learning, statistics, and optimization techniques; 3. Independently manage data projects from 0 to 1, and collaborate with product managers to define user stories, and success metrics to guide the development process; 4. Verify the business value and estimated revenue of the project using methods such as AB testing; 5. Collaborate with engineering teams to deploy and scale data science solutions. 职位要求： 1、了解统计学，机器学习和分析的基本数学基础知识； 2、至少 3 年数据分析经验，具有 ML/DL 和 CV/NLP/Speech 之一的行业经验； 3、具有探索性数据分析、统计分析和假设检验以及模型开发的经验； 4、精通 SQL、Hive、Presto 或 Spark，并具有处理大型数据集的经验； 5、熟练掌握Python和SQL，以及tensorflow、pytorch等ML/DL框架； 6、清楚地了解数据pipeline、模型开发、模型测试和部署； 7、有 CI/CD（如 git）和云服务（如 AWS/GCP/Azure）的经验者优先； 8、具备英文沟通能力强；能够以易于理解的方式向技术/非技术同事传达分析和技术内容； 9、具有求知欲以及出色的解决问题和量化能力，包括拆解问题、找出根本原因并提出解决方案。 1. Knowledge of underlying mathematical fundamentals in statistics, machine learning and analytics; 2. At least 3 years experience in data modeling/analysis, with industry experience in ML/DL and one of CV/NLP/Speech; 3. Experience with exploratory data analysis, statistical analysis and hypothesis testing, and model development; 4. Fluency in SQL, Hive, Presto, or Spark and having experience working with large datasets; 5. High proficiency in Python and SQL, and ML/DL frameworks such as tensorflow, pytorch; 6. Clear understanding of data pipeline, model development, model testing and deployment; 7. Experience in CI/CD such as git and cloud services such as AWS/GCP/Azure will be highly desirable; 8. Advanced English with good communications skills; able to communicate analytical and technical content in an easy to understand way to both technical and non-technical audiences; 9. Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to desegregate issues, identify root causes and recommend solutions.

职位职责： 我们正在寻找AI/ML技术的技术专家，包括计算机视觉(CV)，自然语言处理(NLP)和音频信号处理。您将负责与各种利益相关者(产品、运营、政策和工程)合作，并开发最先进的模型。 1、利用自然语言处理、机器学习或计算机视觉等内容理解能力设计和构建产品核心能力，提取数据洞察并优化变现策略； 2、基于最新的深度学习、机器学习、统计和优化技术的算法开发创新性解决方案并构建业务问题原型； 3、从0到1管理数据项目，并与产品经理协作定义用户故事和成功指标来指导开发过程； 4、使用不限于AB测试等方法验证项目的商业价值和预计收益； 5、与工程团队合作部署数据模型并将解决方案规模化。 We are looking for generalists and specialists in AI/ML techniques, including computer vision (CV), natural language processing (NLP), and audio signal processing. You will be responsible for partnering with a variety of stakeholders (product, operations, policy, and engineering) and developing state-of-the-art models. 1. Design and build core capabilities by leveraging content understanding; capabilities, such as natural language processing, machine learning, or computer vision, to extract insights and improve monetization strategies; 2. Develop creative solutions and build prototypes for business problems using algorithms based on the latest deep learning, machine learning, statistics, and optimization techniques; 3. Independently manage data projects from 0 to 1, and collaborate with product managers to define user stories, and success metrics to guide the development process; 4. Verify the business value and estimated revenue of the project using methods such as AB testing; 5. Collaborate with engineering teams to deploy and scale data science solutions. 职位要求： 1、了解统计学，机器学习和分析的基本数学基础知识； 2、至少 3 年数据分析经验，具有 ML/DL 和 CV/NLP/Speech 之一的行业经验； 3、具有探索性数据分析、统计分析和假设检验以及模型开发的经验； 4、精通 SQL、Hive、Presto 或 Spark，并具有处理大型数据集的经验； 5、熟练掌握Python和SQL，以及tensorflow、pytorch等ML/DL框架； 6、清楚地了解数据pipeline、模型开发、模型测试和部署； 7、有 CI/CD（如 git）和云服务（如 AWS/GCP/Azure）的经验者优先； 8、具备英文沟通能力强；能够以易于理解的方式向技术/非技术同事传达分析和技术内容； 9、具有求知欲以及出色的解决问题和量化能力，包括拆解问题、找出根本原因并提出解决方案。 1. Knowledge of underlying mathematical fundamentals in statistics, machine learning and analytics; 2. At least 3 years experience in data modeling/analysis, with industry experience in ML/DL and one of CV/NLP/Speech; 3. Experience with exploratory data analysis, statistical analysis and hypothesis testing, and model development; 4. Fluency in SQL, Hive, Presto, or Spark and having experience working with large datasets; 5. High proficiency in Python and SQL, and ML/DL frameworks such as tensorflow, pytorch; 6. Clear understanding of data pipeline, model development, model testing and deployment; 7. Experience in CI/CD such as git and cloud services such as AWS/GCP/Azure will be highly desirable; 8. Advanced English with good communications skills; able to communicate analytical and technical content in an easy to understand way to both technical and non-technical audiences; 9. Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to desegregate issues, identify root causes and recommend solutions.

About 关于公司 Company S exists to make human-computer interaction, well, human. By enabling every developer to build real-time audio-visual conversations and experiences with AI avatars. S的存在是为了使人机交互更人性化，为每个开发者打造并使其体验与AI化身建立实时视听对话。 Written language as a mode of communication is less than 10,000 years old. We have evolved to communicate using speech and vision, 80% of the information we process is audio-visual, 80% of the media we consume is audio-visual, and 80% of the neurons dedicated to perception are in the visual cortex. We are visual beings, and we need AI avatars we interact with to have a visual representation. 书面语作为一种交流方式，其历史还不足一万年。如今，我们已经进化到使用语音和视觉进行交流。我们处理的信息中80%是视听类型的，我们消费的媒体有80%是视听类型的，我们专门用于感知的神经元有80%位于视觉皮层中。我们是视觉型生物，我们需要能互动的人工智能化身来获得视觉表现。 S is an early-stage VC-backed startup, we are a team of builders and seasoned entrepreneurs. S是一家早期初创公司，已经获得风险投资支持。我们是一支由创建者和经验丰富的企业家组成的团队。 The role 关于该职位 As an Applied AI Research Scientist at S, you will lead the work in applied AI research of visual and multimodal models for real-time rendering of AI avatar interactions. We are building technologies that developers can use to create completely novel human-AI experiences. You play a leading role in the technical team, reporting directly to the CTO. 作为S的应用人工智能研究科学家，您将领导人工智能可视化和多模式模型的应用研究工作，以实时呈现人工智能化身交互。我们正在打造开发人员可以用来创建全新的人类AI体验的技术。您在技术团队中发挥领导作用，直接向CTO报告。 Responsibilities include: 职责包括： Own the Research, experimentation, and development of new models in the intersection of 3D and vision. 负责3D和视觉交叉领域的新模型的研究、实验和开发。 Contribute to the deployment of these models. 负责模型的部署。 Lead the effort to publish and open-source our work 领导发布和开源我们的工作成果。 Collaborate with researcher engineers and other team members 与研究员、工程师和其他团队成员合作。 Play an active role in the hiring of new talent within the tech & and R&D team 在技术和研发团队招聘新人才方面发挥积极作用。 What are we looking for 我们寻找 We are looking for an individual with: 我们正在寻找一位具备以下条件的候选人： Applicants should have a proven history of generating innovative concepts or enhancing existing ideas in the field of machine learning. This should be evidenced by significant achievements, such as being the first author in relevant publications or leading impactful projects in this domain. 申请者须具备在机器学习领域产生创新概念或加强现有想法的、且经过验证的记录。这一点应以重大成就为证，例如是相关出版物的第一作者或在该领域领导过有影响力的项目。 Particularly interesting with candidates with a background from 3D and vision domains. 具备3D和视觉领域背景的候选人优先考虑 Strong coding skills 较强的编程能力 Experience and knowledge of model distillation techniques and other optimization approaches is a strong advantage 具备模型蒸馏技术和其他优化方法的经验和知识的申请者优先考虑 Published papers, open-source contributions 有发表论文、开源的经验 You have put models in production 已将模型投入生产 What we offer: 我们提供： Option to work remotely or in offices in Oslo, Norway. We can provide visa and relocation support. 可以选择远程工作或在**的办公室工作。我们可以提供签证和搬迁支持。 Equity package 股权计划 Opportunity and budget for attending tech and academic conferences. 参加技术和学术会议的机会，公司将为此提供预算。 Budget for co-working space if remote 公司提供共用工作空间预算 (如选择远程)

1. Who you are As a person you are motivated to continuously develop and enhance programming skills and knowledge of machine learning and AI applications. The IKEA Business and our values and how they apply to the data management process is your passion. Furthermore, you are energized by working both independently and interdependently with the architecture network and cross functions. Appreciate the mix of strategic thinking and turning architecture trends into practice. Last but not least you share and live the IKEA culture and values. In this role you have proven advanced training in (computer) engineering, computer science, econometrics, mathematics or equivalent. You have experience and knowledge of working with large datasets and distributed computing architectures. You have the knowledge of coding (R and/or Python) and development of artificial intelligence applications. You have experience in statistical analysis and statistical software. In addition, you are confident in data processing and analysis. You have demonstrable experience in working in an Agile or DevOps working set-up You have knowledge in following areas: • Knowledge of data set processes for data modelling, mining and production, as well as visualization tools e.g. Tableau • Knowledge of at least one building block of artificial intelligence • Knowledge of machine learning development languages (R and/or Python) and other developments in the fast moving data technology landscape e.g. Hive or Hadoop • Knowledge of DevOps and agile development practices • Exposure to development of industrialised analytical software products • Knowledge of IKEAs corporate identity, core values and vision of creating a better everyday life for the many people We believe that you are able to work with large amounts of raw data and feel comfortable with working with different programming languages. High intellectual curiosity with ability to develop new knowledge and skills and use new concepts, methods, digital systems and processes to improve performance. The ability to provide input to user-story prioritisation as appropriate based on new ideas, approaches, and strategies. The ability to understand the complexity of IKEA business and the role of data and information as an integrated part of the business. 2. Your responsibilities As Data Scientist you will perform predictive and prescriptive modelling and help develop and deploy artificial intelligence and machine learning algorithms to reinvent and grow the IKEA business in a fast changing digital world. You will: • Explore and examine data for use in predictive and prescriptive modelling to deliver insights to the business stakeholders and support them to make better decisions • Influence product and strategy decision making by helping to visualize complex data and enable change through knowledge of the business drivers that make the product successful • Support senior colleagues with modelling projects, identifying requirements and build tools that are statistically grounded, explainable and able to adapt to changing attributes • Support the development and deployment of different analytical building blocks that support the requirements of the capability area and customer needs • Use root cause research to identify process breakdowns and provide data through the use of various skill sets to find solutions to the breakdown • Work closely with other data scientists and across functions to help produce all required design specifications and ensure that data solutions work together and fulfill business needs • Work across initiatives within INGKA Group, steering towards data-driven solutions

岗位职责： 1. 利用海量数据、机器学习算法构建信用、反欺诈等风控相关模型 2. 对海量数据进行数据挖掘、特征衍生，丰富已有特征平台库 3. 基于业务理解数据，进行数据梳理、分析、实验等；发现并解决业务问题 任职要求: 1. 逻辑清晰、思维活跃、善于分析和解决问题，有学习热情 2. 编程基础扎实，熟练使用Python、SQL 3. 在机器学习、数据挖掘有扎实基础和探索兴趣 4. 有良好的沟通能力和团队合作精神 优先录用条件： 1. 在相关A类会议（ICML, NIPS, SIGIR, SIGKDD等）**作者发表论文 2. 参与过知名开源项目，熟悉spark等大数据框架 3. 有深度学习（CV、NLP或其他）相关项目经验 4. 英文水平优秀，能顺畅地使用英文进行商务沟通 薪资：200-250/天

职位名称：数据科学家 城市：上海 福利 1.本地健康保险计划或保险津贴 2.灵活的travel安排 3.饮料、点心和水果 4.季节性饮料和生日庆祝活动 5.团队建设活动和郊游 6.上海户籍及上海工作居住证办理 7.多功能有设计感的办公环境，地铁零距离 工作摘要： 我们正在寻找一位高度积极和技能精湛的数据科学家加入我们的团队。成功的候选人将负责分析复杂的数据集，开发预测模型，存储数据，建立特定行业数据库，实施客户项目，并推动业务洞察和决策。作为数据科学家，您将与跨职能团队紧密合作，确定业务问题，设计和实施数据驱动的解决方案，并向关键利益相关者传达发现。 关键职责： 1.分析大型、复杂的数据集，识别趋势、模式和见解 2.使用统计学和机器学习技术开发预测模型 3.与跨职能团队合作，确定业务问题并设计数据驱动的解决方案 4.使用网络爬虫工具和技术爬取数据 5.清理和预处理爬取的数据，确保准确性和一致性 6.存储数据和建立不同行业的数据库 7.实施客户项目并在规定的时间内交付成果 8.向利益相关者清晰简洁地传达发现和建议 9.不断监控和评估模型性能，并根据需要进行改进 10.了解数据科学和机器学习领域的最新趋势和进展 要求： 1.计算机科学、统计学、数学或相关领域的学士或硕士学位 2. 2年以上数据科学家或类似职位的工作经验 3.熟练使用Python和SQL 4.深厚的统计和机器学习技术知识 5.具有使用BeautifulSoup或Scrapy等网络爬虫工具的经验 6.具有使用Tableau或PowerBI等数据可视化工具的经验 7.出色的分析、问题解决和沟通技能 8.能够独立工作和与团队合作 9.具有使用Hadoop、Spark或AWS等大数据技术的经验者优先考虑 10.流利的英文口语能力 如果您是一位充满激情和动力的数据科学家，具有强大的分析思维、市场数据爬取、数据存储和客户项目实施经验，并渴望在数据科学领域产生重大影响，我们鼓励您申请这个激动人心的机会。 我们的优势 1.与世界各地的国际团队合作 2.获得最新的网页技术和AR虚拟现实领域的前沿科技知识 3.学到更多的电子商务和移动相关的技术 4.获得用户界面和用户体验的工作经验 5.使用类似JIRA, Confluence, Hudson and Selenium项目管理系统进行工作 关于TMO集团 TMO Group是一家国际性的数字商务解决方案提供商，在阿姆斯特丹，上海, 成都和香港设有办事处， 电商 - 数据 - AI 我们为您的电商价值链提供集成解决方案，贯穿咨询、设计、开发和智能营销以及云计算赋能的托管服务。重点服务企业为B2C、D2C模式下的健康美妆行业，以及B2B数字化转型全行业。

职责描述： ? Develop AI and machine learning solutions to optimise business performance across different areas of the organisation; ? Build exploratory analysis to identify the root causes of a particular business problem; ? Explore and analyze all the to understand customer behavior and provide better customer experience; ? Use data analytics to help in-country Marketing, Distribution, Operation, compliance and HR teams to increase revenue, lower costs and improve operational efficiency; ? Identify actionable insights, suggest recommendations, and influence the direction of the business of cross functional groups; ? Build MIS to track the performance of implemented models to validate the effectiveness of them and show the financial benefits to the organization; ? Support the data analytics team on data extraction and manipulation; ? Help decision analytics team on the creation of documentations of all analytical solutions developed; ? Build data infrastructure necessary for the development of predictive models and more sophisticated data analysis; ? Development of data analysis for different business units 任职要求： ? Studying a numerate discipline e.g. Actuarial science, Mathematics, Statistics, Engineering, or Computer Science with a strong computer programming component; ? Demonstrable understanding of data quality risks and ability to carry out necessary quality checks to validate results obtained; ? Knowledge of a variety of machine learning techniques (clustering, decision tree, random forest, artificial neural networks, etc.) ? Proven hands-on experience in the use of at least one advanced data analysis platform (e.g. Python, R); ? Sound knowledge of programming in SQL or other programming experience; ? Articulate, with excellent oral and written communication skills. Fast learner with a willing attitude. Intellectually rigorous, with strong analytical skills and a passion for data;

Key Responsibilities: 1、Lead cross-functional teams and manage end-to-end responsibilities of data engineering projects, from inception to deployment 2、Collaborate with business stakeholders to deliver data platform capabilities, prioritising requirements basing on business benefits and protection against data risks 3、Project manage data initiatives, tracking progress and risks against scope, schedule and costs, in coordination with business and tech units 4、Promote compliant and quality reuse of data on enterprise platform, through incremental delivering functionalities in data lifecycle, including data access control, data lineage, data quality, data analytics etc. 5、Manage third party data products and vendors for deployment on the data platform 6、Implement cloud and open source capabilities to enable end-to-end data capabilities 7、Effectively use hybrid project management techniques, applying agile tools within SDLC phases 8、Coordinate with data engineering function in their efficient use of technical tools, internal resources and skills, optimising technical synergies and efficiency across initiatives Requirements: 1、Bachelor’s degree in technology, engineering, or related disciplines 2、Fluent in English is a must, cantonese speaker is a plus 3、10 or more years of working experience in IT development or project management, preferably having good track record in large enterprises. More senior position requires stronger technology and management experiences 4、Well versed with SDLC project disciplines, experience with Agile methodologies and leading cross-functional teams 5、Solid technical background with hands-on experience in software development and data related technologies, such as multi-tiered service oriented architecture, data modelling and data visualization 6、Good coverage and understanding of enterprise data architecture requirements and end to end technology stack 7、Experience in JupyterHub or equivalent data scientist workbench and deployment of multi-tenant architecture 8、Familiar with native cloud technologies, e.g. AWS EKS, EFS 9、Experience in data security and data management tools, e.g. LDAP, OAuth, Keycloak, AWS Lake Formation, AWS Data Catalog, OpenMetadata 10、Familiarity with data management, data governance and data quality standards 11、Excellent communication and influencing skills 12、PMP, PRINCE2 or Agile certification is an advantage

职位诱惑： 欧洲科学院院士带队，完善福利待遇，额外假期 职位描述： 岗位介绍： 美的软件工程院智能办公部由欧洲科学院院士、IEEE Fellow, IET Fellow, ACMDistinguished Scientist、美国**大学教授领军，负责美的跨国集团的智能办公和数据中间件系统。现诚招JAVA后端研发英才，参与美的自研的企业服务与中间件产品的研发。 主要职责： - 负责企业内部智能办公、中间件云服务化等系统的开发与维护。 - 推进系统技术架构和性能优化。 - 领导团队制定和实施项目的技术路线。 职位要求： - 本科或以上学历，计算机相关专业。 - 3年及以上JAVA开发经验，熟悉Spring Boot和MyBatis等框架。 - 熟悉高并发架构、缓存技术和分布式技术。 - 有丰富的设计模式和数据结构知识。 - 熟悉Linux操作系统和常用命令。 - 能够熟练使用Git进行团队协作。 - 具有良好的沟通能力和团队合作精神。

职位诱惑： 欧洲科学院院士带队，完善福利待遇，额外假期 职位描述： 岗位介绍： 美的软件工程院智能办公部由欧洲科学院院士、IEEE Fellow, IET Fellow, ACMDistinguished Scientist、美国**大学教授领军，负责美的跨国集团的智能办公和数据中间件系统。现诚招JAVA后端研发英才，参与美的自研的企业服务与中间件产品的研发。 主要职责： - 负责企业内部智能办公、中间件云服务化等系统的开发与维护。 - 推进系统技术架构和性能优化。 - 领导团队制定和实施项目的技术路线。 职位要求： - 本科或以上学历，计算机相关专业。 - 3年及以上JAVA开发经验，熟悉Spring Boot和MyBatis等框架。 - 熟悉高并发架构、缓存技术和分布式技术。 - 有丰富的设计模式和数据结构知识。 - 熟悉Linux操作系统和常用命令。 - 能够熟练使用Git进行团队协作。 - 具有良好的沟通能力和团队合作精神。

岗位职责： 1、参与企业安全产品和云计算安全产品的架构设计和系统研发工作，包括但不限于网络准入、零信任系统、数据防泄漏DLP系统、端点检测与响应EDR等； 2、主导架构设计、技术难题攻关； 3、负责产品落地和系统的演进，完善平台自动化、智能化安全能力。 任职要求： 1、本科及以上学历，具有3年及以上c/c++使用及终端安全软件研发经验； 2、熟悉tcp/ip协议栈，对网络编程、网关、http/https等应用层协议有深入研究； 3、有Windows/Linux内核驱动开发经验，有WFP框架、TDI、NDIS网络驱动开发经验，熟悉文件保护、进程保护、注册表保护等相关技术实现； 4、熟悉操作系统底层原理，理解各类安全产品的原理、系统架构及实现方式，有DLP、零信任、杀软、HIDS等客户端相关开发经验； 5、具备良好发现、分析、解决问题的思路和手段，能熟练使用各种调试分析工具解决线上各类疑难bug； 6、熟悉QT，有跨平台开发经验者优先； 美的软件工程院由欧洲科学院院士、IEEE Fellow, IET Fellow, ACM Distinguished Scientist、美国**大学教授领军，旨在建设美的集团自研的云计算平台，即美的数字化业务的技术中台与基座。软件工程院信息安全部负责集团信息安全产品的研发，现诚招网络安全研发专家与产品经理。

岗位职责： 1.设计、实现和优化计算机视觉算法和模型，用于解决实际应用中的问题，如生物特征识别、行人重识别、人体姿态估计、人体语义分割、人体动作识别等。 2.研究和评估最新的计算机视觉算法和技术，将其应用到项目中，提高产品的性能和效果。 3.进行算法和模型的验证、调优和性能优化，确保其在不同场景和数据上的稳定性和可靠性。 4.与团队成员密切合作，包括软件工程师、数据科学家和产品经理，共同推动项目的进展和创新。 岗位要求： 1.本科或以上学历，计算机科学、数学、统计学或相关专业，3~5年工作经验，有海外留学经验优先； 2.熟悉Python，能够使用TensorFlow, PyTorch等深度学习框架； 3.熟悉业界通用的AI平台, 有AI相关的项目经验，如图像分类、目标检测、人脸识别等； 4.熟悉常用的AI算法和模型，如CNN, R-CNN, YOLO, GAN等； 5.有良好的数据分析和问题解决能力，能够根据业务需求设计和实现合适的解决方案； 6.有团队合作精神，能够与其他data scientist和工程师协作完成项目； 7.良好的中英文表达和书写能力,会粤语优先。 公司福利： 1、朝九晚六，准点下班，周末双休，外企氛围； 2、入职即缴纳五险一金； 3、技术类岗位双高清大屏的工作环境； 4、丰富多彩的团建活动，不限量办公室零食； 5、丰富的假期体系（法定节假日、婚嫁、产假、带薪病假、带薪年假）； 6、年度调薪机会，14薪，薪资涨涨涨。

美的软件工程院由欧洲科学院院士、IEEE Fellow, IET Fellow,ACM Distinguished Scientist、美国**大学教授领军，旨在建设美的集团自研的云计算平台，即美的数字化业务的技术中台与基座。软件工程院IAAS系统部负责集团操作系统、容器、虚拟机、网络和存储的研发，现诚招虚拟网络研发。 岗位职责： 1、负责虚拟网络（即云网络，又名SDN/NFV）产品的设计和研发，包括VPC、VPN、EIP、NAT、LB等； 2、负责虚拟网络性能优化和硬件加速的研发，包括DPDK、eBPF、智能网卡、DPU等； 3、负责物理网络和虚拟网络的一体化设计和研发，实现高吞吐、低延迟的的高性能数据中心网络。 岗位要求： 1、了解常规网络协议，如TCP/IP、VXLAN、BGP、EVPN; 2、了解至少一种虚拟网络相关开源技术，如OVS、DPDK、VPP、eBPF； 3、熟悉如下至少一种开发语言，如C、C++、Go； 4、有ODL、OVN、Neutron等SDN开发经验者优先； 5、工作经验：5年以上。

职位职责： 成为全球商业化团队的一员并参与驱动海外业务增长，接触从广告产品到客销关系全链路业务流程并参与数据体系建设，赋能业务。 Be part of the monetization team and contribute to global expansion. Chance to get a full view of monetization products and business operations and participate in building data assets to drive business value. 1、负责面向海外业务梳理业务运营中的数据流程，输出数据产品以及框架性的数据洞察； 2、在深入理解产品细节，业务流程、充分调研同类产品的基础上，以务实创新的原则探索最佳实践并推动落地； 3、亲自动手跑通数据流程，与研发协作，输出高质量的产品原型文档； 4、与相关团队充分协作，充分理解业务难点，把握短期和长期实现目标，制定清晰合理有共识的路线图，通过短期策略支持业务，同时推动长期产品迭代开发和上线。 1. Responsible for streamlining business workflow, delivering data products and data insights frameworks for overseas monetization business; 2. Define best practices based on a deep understanding of business workflow and product details through analysis of industry-leading products, be practical and creative; 3. Hands on the prototype of the data workflow. Collaborate with the RD team. Produce high quality product design documents; 4. Align with stakeholders, fully understand the pain point of the business, deal with both short-term and long-term solutions, and come up with a solid roadmap, support the business with short-term fix and strategy. At the same time, drive long-term product design iterations and product releases. 职位要求： 1、大学本科及以上学历，3年以上产品工作经验，2年以上数据产品相关经验； 2、熟练掌握SQL查询和Debug原数据的能力； 3、熟知数据分析框架，能将场景需求拆解成逻辑清晰的数据产品体系； 4、能独立发现问题并提出解决方案； 5、高质量产品文档及原型产出能力； 6、流畅的英文口语和书面表达； 7、有数据分析，数据科学，数据工程，统计分析相关经验优先。 1. Bachelor's degree or above, 3+ years experience in product management, 2+ years in data products area; 2. Great SQL capability for data processing and debugging; 3. Familiar with the data analysis framework, can break complex business requirements into systematical data systems; 4. Ability to execute independently; 5. Ability to produce high quality PRD and prototypes; 6. Fluent in English; 7. Experience in data analysis, data scientist, data engineering, statistics, analytics is a plus.

岗位介绍： 美的软件工程院智能办公部由欧洲科学院院士、IEEE Fellow, IET Fellow, ACMDistinguished Scientist、美国**大学教授领军，负责美的跨国集团的智能办公和数据中间件系统。现诚招JAVA后端研发英才，参与美的自研的企业服务与中间件产品的研发。 主要职责： - 负责企业内部智能办公、中间件云服务化等系统的开发与维护。 - 推进系统技术架构和性能优化。 - 领导团队制定和实施项目的技术路线。 职位要求： - 本科或以上学历，计算机相关专业。 - 3年及以上JAVA开发经验，熟悉Spring Boot和MyBatis等框架。 - 熟悉高并发架构、缓存技术和分布式技术。 - 有丰富的设计模式和数据结构知识。 - 熟悉Linux操作系统和常用命令。 - 能够熟练使用Git进行团队协作。 - 具有良好的沟通能力和团队合作精神。