{
    "schema_version": "via_ai_product_manager_jobs_v1",
    "data_type": "ai_product_manager_jobs",
    "job": {
        "job_title": "AI Engineer（Senior Level）",
        "job_level": "高级",AI生成
        "work_category": "全职",AI生成
        "department": "未披露",
        "location": "新加坡",
        "work_mode": "未披露",AI生成
        "job_category": "人工智能研发"AI生成
    },
    "company": {
        "company_name": "小米集团",
        "company_industry": "消费电子 / 智能制造 / 物联网",
        "company_size": "10000人以上",
        "company_website": "xiaomi.com",
        "company_description": "小米是一家消费电子和智能制造企业，以智能手机、智能硬件和物联网平台为核心。"
    },
    "compensation": {
        "salary_range": {
            "min": "",
            "max": "",
            "currency": "未披露",
            "cycle": "未披露"
        },
        "benefits": "未披露"
    },
    "requirements": {
        "working_years": 5,
        "degree": "- Bachelor’s degree or above in Computer Science or a related field",
        "language": "Strong leadership and communication skills. Ability to communicate in Mandarin and English, in order to support coordination and collaboration with Mandarin-speaking stakeholders, teams, and business partners across regional markets.",AI生成
        "visa_support": "未披露",
        "responsibilities": "Job description：\n- Lead the design and optimization of search relevance, ranking, and overall user experience on the Mi.com platform\n- Architect and evolve end-to-end search systems, including query understanding, retrieval, ranking, and re-ranking pipelines\n- Build scalable and production-ready ML systems for search, handling large-scale real-time and unstructured data\n- Develop advanced query understanding capabilities (e.g., query rewriting, intent classification, semantic parsing)\n- Optimize system performance across relevance, latency, and scalability dimensions\n- Deploy, monitor, and troubleshoot ML models in production environments\n- Mentor junior engineers and collaborate cross-functionally to deliver impactful search improvements",
        "requirements_text": "Requirement：\n- Bachelor’s degree or above in Computer Science or a related field\n- 5+ years of experience in search, information retrieval, or large-scale ML systems\n- Proficiency in Java with strong engineering fundamentals\n- Hands-on experience building large-scale search or recommendation systems\n- Familiarity with vector search infrastructure (e.g., FAISS or similar systems) \n- Proven experience building scalable ML systems in production (training → deployment → monitoring → iteration)\n- Strong leadership and communication skills. Ability to communicate in Mandarin and English, in order to support coordination and collaboration with Mandarin-speaking stakeholders, teams, and business partners across regional markets.",
        "skills": [AI生成
            "Java",
            "团队协作",
            "沟通能力"
        ],
        "preferred_qualifications": "未披露",
        "job_highlights": "未披露"
    },
    "contact": {
        "recruiter_name": "未披露",
        "contact_methods": [
            {
                "type": "apply_link",
                "value": "https://xiaomi.jobs.f.mioffice.cn/index/m/position/7542564159537447020/detail"
            }
        ]
    },
    "posting": {
        "posting_id": "7542564159537447020",
        "post_date": "2025-08-26",
        "hire_time": "未披露",
        "update_date": "20260917",
        "job_url": "https://xiaomi.jobs.f.mioffice.cn/index/m/position/7542564159537447020/detail"
    },
    "fulltext": "AI Engineer（Senior Level）\n职位描述\nJob description：\n- Lead the design and optimization of search relevance, ranking, and overall user experience on the Mi.com platform\n- Architect and evolve end-to-end search systems, including query understanding, retrieval, ranking, and re-ranking pipelines\n- Build scalable and production-ready ML systems for search, handling large-scale real-time and unstructured data\n- Develop advanced query understanding capabilities (e.g., query rewriting, intent classification, semantic parsing)\n- Optimize system performance across relevance, latency, and scalability dimensions\n- Deploy, monitor, and troubleshoot ML models in production environments\n- Mentor junior engineers and collaborate cross-functionally to deliver impactful search improvements\n\n职位要求\nRequirement：\n- Bachelor’s degree or above in Computer Science or a related field\n- 5+ years of experience in search, information retrieval, or large-scale ML systems\n- Proficiency in Java with strong engineering fundamentals\n- Hands-on experience building large-scale search or recommendation systems\n- Familiarity with vector search infrastructure (e.g., FAISS or similar systems) \n- Proven experience building scalable ML systems in production (training → deployment → monitoring → iteration)\n- Strong leadership and communication skills. Ability to communicate in Mandarin and English, in order to support coordination and collaboration with Mandarin-speaking stakeholders, teams, and business partners across regional markets.\nJob description：\n- Lead the design and optimization of search relevance, ranking, and overall user experience on the Mi.com platform\n- Architect and evolve end-to-end search systems, including query understanding, retrieval, ranking, and re-ranking pipelines\n- Build scalable and production-ready ML systems for search, handling large-scale real-time and unstructured data\n- Develop advanced query understanding capabilities (e.g., query rewriting, intent classification, semantic parsing)\n- Optimize system performance across relevance, latency, and scalability dimensions\n- Deploy, monitor, and troubleshoot ML models in production environments\n- Mentor junior engineers and collaborate cross-functionally to deliver impactful search improvements\nRequirement：\n- Bachelor’s degree or above in Computer Science or a related field\n- 5+ years of experience in search, information retrieval, or large-scale ML systems\n- Proficiency in Java with strong engineering fundamentals\n- Hands-on experience building large-scale search or recommendation systems\n- Familiarity with vector search infrastructure (e.g., FAISS or similar systems) \n- Proven experience building scalable ML systems in production (training → deployment → monitoring → iteration)\n- Strong leadership and communication skills. Ability to communicate in Mandarin and English, in order to support coordination and collaboration with Mandarin-speaking stakeholders, teams, and business partners across regional markets.",
    "standard_classification": {
        "std_category_code": "T011",
        "std_aux_codes": [],
        "std_category_status": null,
        "std_taxonomy_version": "20261104"
    }
}