主分类:大模型与生成式算法研发
来源 JD 数据(旧分类保留,当前主分类见上方)
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"job_level": "实习",AI生成
"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.",
"requirements_text": "● 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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"计算机视觉"
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"preferred_qualifications": "未披露",
"job_highlights": "未披露"
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"recruiter_name": "未披露",
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"posting": {
"posting_id": "199907500002",
"post_date": "2026-07-07",
"hire_time": "未披露",
"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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