职位详情

职位列表 链接有效 不适用(官网全量采集) official:alibaba:199907500002

Research Intern-Post training

未披露 · 森尼韦尔 · 阿里国际数字商业集团

主分类:大模型与生成式算法研发
算法与数据
来源 JD 数据(旧分类保留,当前主分类见上方)
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        "work_category": "实习",AI生成
        "department": "阿里国际数字商业集团",
        "location": "森尼韦尔",
        "work_mode": "未披露",AI生成
        "job_category": "技术类"AI生成
    },
    "company": {
        "company_name": "阿里国际数字商业集团",
        "company_industry": "跨境电商",
        "company_size": "未披露",
        "company_website": "alibaba.com",
        "company_description": "阿里国际数字商业业务涉及国际电商平台及跨境商品交易。"
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        "degree": "● PhD",
        "language": "未披露",AI生成
        "visa_support": "未披露",
        "responsibilities": "【About our team】\nOur 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.\n【Responsibilities】\n● Deliver full projects by defining the data structure, framework, design, and evaluation metrics for AI solution development and implementation.\n● Develop and deploy Large Language Models (LLMs) to empower search and agent systems for a variety of applications.\n● Identify new and upcoming product innovation areas by interacting with potential external and internal collaborators.\n● Identify undefined problems in existing technology and engage stakeholders and leaders to address them.",
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            "机器学习",
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            "计算机视觉"
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        "post_date": "2026-07-07",
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        "update_date": "20260917",
        "job_url": "https://campus-talent.alibaba.com/campus/position/199907500002?deptCodes="
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    "fulltext": "Research Intern-Post training\nResearch Intern-Post training\n\n基础信息\n毕业起止时间要求:2027-11-01 - 2031-12-31\n职位类别:技术类\n招聘项目:阿里巴巴研究型实习生\n工作地点:森尼韦尔\n\n职位描述\n【About our team】\nOur 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.\n【Responsibilities】\n● Deliver full projects by defining the data structure, framework, design, and evaluation metrics for AI solution development and implementation.\n● Develop and deploy Large Language Models (LLMs) to empower search and agent systems for a variety of applications.\n● Identify new and upcoming product innovation areas by interacting with potential external and internal collaborators.\n● Identify undefined problems in existing technology and engage stakeholders and leaders to address them.\n\n职位要求\n● PhD, Master's, or Bachelor's degree in Computer Science, Engineering, Mathematics, or related fields.\n● Ability to implement and verify state-of-the-art NLP or Computer Vision algorithms.\n● Experience in successfully applying machine learning approaches to real-world personalization problems.\n● Experience with building large language models.\n● Knowledge of statistical methods, with strong mathematical skills.\n● Excellent problem-solving and programming skills in Python.\n\n在招业务\n阿里国际数字商业集团\n【About our team】\nOur 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.\n【Responsibilities】\n● Deliver full projects by defining the data structure, framework, design, and evaluation metrics for AI solution development and implementation.\n● Develop and deploy Large Language Models (LLMs) to empower search and agent systems for a variety of applications.\n● Identify new and upcoming product innovation areas by interacting with potential external and internal collaborators.\n● Identify undefined problems in existing technology and engage stakeholders and leaders to address them.\n● PhD, Master's, or Bachelor's degree in Computer Science, Engineering, Mathematics, or related fields.\n● Ability to implement and verify state-of-the-art NLP or Computer Vision algorithms.\n● Experience in successfully applying machine learning approaches to real-world personalization problems.\n● Experience with building large language models.\n● Knowledge of statistical methods, with strong mathematical skills.\n● Excellent problem-solving and programming skills in Python.",
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