{
    "schema_version": "via_ai_product_manager_jobs_v1",
    "data_type": "ai_product_manager_jobs",
    "job": {
        "job_title": "27届校招-预训练算法工程师",
        "job_level": "",AI生成
        "work_category": "全职",AI生成
        "department": "",
        "location": "",
        "work_mode": "",AI生成
        "job_category": ""AI生成
    },
    "company": {
        "company_name": "智谱AI",
        "company_industry": "",
        "company_size": "",
        "company_website": "",
        "company_description": ""
    },
    "compensation": {
        "salary_range": {
            "min": "",
            "max": "",
            "currency": "",
            "cycle": ""
        },
        "benefits": ""
    },
    "requirements": {
        "working_years": "",
        "degree": "",
        "language": "",AI生成
        "visa_support": "",
        "responsibilities": "【职位描述】\n1. 负责预训练数据的构建，包括领域分类、质量筛选、配比调整等；\n2. 负责语言模型结构探索，包括高效的attention结构、降低部署成本的moe架构等；\n3. 负责新的预训练scaling范式探索，包括预训练与RL的结合、可扩展的预训练数据合成方法等。\n加分项：\n1. 在ACL，NeurIPS，ICLR，EMNLP，ICML等顶级会议或期刊上发表过论文者优先；\n2. 熟悉并行训练框架，有多机多卡训练经验者优先；熟悉大模型预训练 / SFT / RL 者优先。",
        "requirements_text": "",
        "skills": [],AI生成
        "preferred_qualifications": "",
        "job_highlights": ""
    },
    "contact": {
        "recruiter_name": "",
        "contact_methods": []
    },
    "posting": {
        "posting_id": "f607726a-2df6-42fd-84c9-a38afb16ccda",
        "post_date": "2026-11-03",
        "hire_time": "",
        "update_date": "",
        "job_url": "https://app.mokahr.com/campus-recruitment/zphz/148984#/job/f607726a-2df6-42fd-84c9-a38afb16ccda"
    },
    "fulltext": "【职位描述】\n1. 负责预训练数据的构建，包括领域分类、质量筛选、配比调整等；\n2. 负责语言模型结构探索，包括高效的attention结构、降低部署成本的moe架构等；\n3. 负责新的预训练scaling范式探索，包括预训练与RL的结合、可扩展的预训练数据合成方法等。\n加分项：\n1. 在ACL，NeurIPS，ICLR，EMNLP，ICML等顶级会议或期刊上发表过论文者优先；\n2. 熟悉并行训练框架，有多机多卡训练经验者优先；熟悉大模型预训练 / SFT / RL 者优先。"
}