蚂蚁金服Research Staff Member for Robotics and Embodied AI

1.项目立项与结项管理： 帮助PM完成项目可行性分析，组织立项评审，在XinPLM系统完成项目编码申请和项目空间创建；维护项目空间，确保项目KR阵型完整，维护项目考核基线，监控项目里程碑达成进展情况； 2.工时与TF管理： 统筹项目工时核算与预算控制，对接财务，支撑研发成本资本化；协助PM管理项目TF预算，跟踪项目TF状态并组织评审； 3.项目交付件管理： 建立交付件标准清单和模板，确保技术文档的完整性与合规性；维护项目知识库，推动项目及时复盘，实现Lesson Learn经验复用； 4.IPD流程执行与优化： 按IPD流程组织TR与DCP会议，输出评审报告并上传XinPLM，跟踪AI闭环；月度组织PRM，汇报项目进度、成本及风险；基于项目实际运行情况反馈流程问题，推动流程BP对流程进行优化；组织制定、培训、实施及优化流程。

OverviewCome build community, explore your passions and do your best work at Microsoft with thousands of University interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential—and excitement for the journey ahead.   As a Research Science Intern, you will conduct research and leads research collaborations that yield new insights, theories, analyses, data, algorithms, and/or prototypes that advance the state-of-the-art of computer science and engineering, as well as general scientific knowledge. You will formulate research problems in an area of study and initiates the design, development, execution and implementation of a research agenda to further academic knowledge and close identified gaps and provide expertise to product or business groups and may create long-term business opportunities through research outcomes, but not responsible for addressing immediate product needs or demonstrating a clear path to product. We are seeking candidates excelling in deep thinking research aspects and fast-paced entrepreneurial execution. The ideal candidates should have the ability to work with researchers and product team colleagues at Microsoft to push forward research agendas, being a team player in a collaborative and supportive environment with outstanding programming skills. We are seeking candidates with research skills and technical backgrounds. Applicants should demonstrate depth of knowledge in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence) as well as strong academia experience in data processing, experimentation, and modeling. Microsoft works with the world’s best researchers, moving with the current of technology as it rapidly evolves. Together we share the motivation to seek innovative solutions to the world’s toughest challenges and improve the lives of people everywhere. Microsoft provides a nurturing environment to support passionate researchers and engineers in AI technology innovation. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities• Analyze and improve performance of advanced algorithms on large-scale datasets and cutting-edge research in machine intelligence and machine learning applications. • Implement prototypes of scalable systems in AI applications. • Collaborate closely with team members on developing systems from prototyping to production level. • Develop solutions for real world, large-scale problems. • Under instruction from others, research new tools, technologies, and methods being used in the research community and contribute your knowledge around a specialized tool/method to support planning for research projects. • Gain an understanding of their research as it relates to Microsoft products or business groups and assists in technology transfer attempts, participating on standards organizations, filing patents, authoring white papers, developing or maintaining tools/services for internal Microsoft use, or consulting for product or business groups.

【About our team】 Our team is dedicated to revolutionizing B2B e-commerce through the development of a groundbreaking AI search product. Leveraging cutting-edge LLM technology, we're creating a brand new AI search engine and streamline the entire purchasing process for B2B customers. 【Responsibilities】 ● Deliver full projects by defining the data structure, framework, design, and evaluation metrics for AI solution development and implementation. ● Develop and deploy Large Language Models (LLMs) to empower search and agent systems for a variety of applications. ● Identify new and upcoming product innovation areas by interacting with potential external and internal collaborators. ● Identify undefined problems in existing technology and engage stakeholders and leaders to address them.

• Lead the development and evaluation of state-of-the-art models for code completion and editing, pushing the boundaries of code understanding, generation, fix and review. • Develop retrieval-augmented systems that improve a model’s awareness of large and complex codebases, enabling context-rich code assistance. • Design and prototype efficient inference algorithms to enable fast, interactive code generation experiences at • Collaborate across disciplines with product teams across Microsoft and Github • Stay up to date with the research literature and product advances in AI for software engineering