{
    "schema_version": "via_ai_product_manager_jobs_v1",
    "data_type": "ai_product_manager_jobs",
    "job": {
        "job_title": "LLM/VLM算法工程师",
        "job_level": "高级",AI生成
        "work_category": "全职",AI生成
        "department": "",
        "location": "香港",
        "work_mode": "现场办公",AI生成
        "job_category": "AI模型算法工程师"AI生成
    },
    "company": {
        "company_name": "奇瑞信息公司",
        "company_industry": "信息安全",
        "company_size": "10000人以上",
        "company_website": "",
        "company_description": ""
    },
    "compensation": {
        "salary_range": {
            "min": 40000,
            "max": 70000,
            "currency": "CNY",
            "cycle": "month"
        },
        "benefits": ""
    },
    "requirements": {
        "working_years": 3,
        "degree": "硕士",
        "language": "中英双语",AI生成
        "visa_support": "",
        "responsibilities": "",
        "requirements_text": "大模型算法\n多模态算法\n算法工程化经验\nSLAM算法\n岗位职责：负责⼤语⾔模型与多模态模型的预训练、后训练\n及业务适配,重点开展长上下⽂与复杂推理、\nAgent工具调用与Trace学习、强化学习及⾃反馈\n优化,以及视觉编码器、多模态Tokenizer、跨模\n态融合和工业数据联合建模等算法研发。\n任职要求：大模型训练经验",
        "skills": [AI生成
            "模型训练与算法优化",
            "多模态AI应用",
            "编程与代码实现",
            "Agent系统构建",
            "技术可行性与系统架构",
            "快速学习与自驱"
        ],
        "preferred_qualifications": "",
        "job_highlights": ""
    },
    "contact": {
        "recruiter_name": "",
        "contact_methods": [
            {
                "type": "apply_link",
                "value": "https://www.zhipin.com/job_detail/a838eaa246fa37310nJz3NS1EVNV.html"
            }
        ]
    },
    "posting": {
        "posting_id": "a838eaa246fa37310nJz3NS1EVNV",
        "post_date": "",
        "hire_time": "",
        "update_date": "",
        "job_url": "https://www.zhipin.com/job_detail/a838eaa246fa37310nJz3NS1EVNV.html"
    },
    "fulltext": "大模型算法\n多模态算法\n算法工程化经验\nSLAM算法\n岗位职责：负责⼤语⾔模型与多模态模型的预训练、后训练\n及业务适配,重点开展长上下⽂与复杂推理、\nAgent工具调用与Trace学习、强化学习及⾃反馈\n优化,以及视觉编码器、多模态Tokenizer、跨模\n态融合和工业数据联合建模等算法研发。\n任职要求：大模型训练经验"
}