主分类:搜索推荐与业务决策算法研发
来源 JD 数据(旧分类保留,当前主分类见上方)
{
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"data_type": "ai_product_manager_jobs",
"job": {
"job_title": "Ad Strategy Algorithm Engineer(J93906)",
"job_level": "未披露",AI生成
"work_category": "全职",AI生成
"department": "MEG",
"location": "新加坡",
"work_mode": "未披露",AI生成
"job_category": "技术"AI生成
},
"company": {
"company_name": "百度",
"company_industry": "互联网 / 人工智能",
"company_size": "10000人以上",
"company_website": "baidu.com",
"company_description": "百度围绕搜索发展人工智能技术,业务涉及语音、图像、知识图谱、自然语言处理、自动驾驶和AI芯片。"
},
"compensation": {
"salary_range": {
"min": "",
"max": "",
"currency": "未披露",
"cycle": "未披露"
},
"benefits": "未披露"
},
"requirements": {
"working_years": "",
"degree": "未披露",
"language": "未披露",AI生成
"visa_support": "未披露",
"responsibilities": "-Responsible for designing strategies and optimizing algorithms for the advertising system\n-Design and implement ad bidding mechanisms\n-Estimate CTR (Click-Through Rate) and CVR (Conversion Rate) for advertising models\n-Research advanced technologies for the advertising system",
"requirements_text": "-Experience with large-scale advertising system strategy algorithms; experience with RTB (Real-Time Bidding) is preferred\n-Background in machine learning and deep learning\n-Proficient in programming languages such as Python, with a solid foundation in data structures and algorithms\n-Strong team spirit, excellent communication, and learning abilities\n-Exceptional problem analysis and solving skills, with a passion for tackling challenging issues\n-Outstanding logical thinking skills, capable of discovering valuable patterns from large datasets",
"skills": [AI生成
"Python",
"机器学习",
"深度学习"
],
"preferred_qualifications": "experience with RTB (Real-Time Bidding) is preferred",
"job_highlights": "未披露"
},
"contact": {
"recruiter_name": "未披露",
"contact_methods": [
{
"type": "apply_link",
"value": "https://talent.baidu.com/jobs/detail/SOCIAL/a1767eea-df1a-4442-869c-80b0daf2fa33"
}
]
},
"posting": {
"posting_id": "a1767eea-df1a-4442-869c-80b0daf2fa33",
"post_date": "2025-09-22",
"hire_time": "未披露",
"update_date": "20260917",
"job_url": "https://talent.baidu.com/jobs/detail/SOCIAL/a1767eea-df1a-4442-869c-80b0daf2fa33"
},
"fulltext": "Ad Strategy Algorithm Engineer(J93906)\nAd Strategy Algorithm Engineer(J93906)\n\n基础信息\n部门:MEG\n地点:新加坡\n类别:技术\n招聘人数:1\n发布时间:2026-07-21\n\n工作职责\n-Responsible for designing strategies and optimizing algorithms for the advertising system\n-Design and implement ad bidding mechanisms\n-Estimate CTR (Click-Through Rate) and CVR (Conversion Rate) for advertising models\n-Research advanced technologies for the advertising system\n\n职责要求\n-Experience with large-scale advertising system strategy algorithms; experience with RTB (Real-Time Bidding) is preferred\n-Background in machine learning and deep learning\n-Proficient in programming languages such as Python, with a solid foundation in data structures and algorithms\n-Strong team spirit, excellent communication, and learning abilities\n-Exceptional problem analysis and solving skills, with a passion for tackling challenging issues\n-Outstanding logical thinking skills, capable of discovering valuable patterns from large datasets\n-Responsible for designing strategies and optimizing algorithms for the advertising system\n-Design and implement ad bidding mechanisms\n-Estimate CTR (Click-Through Rate) and CVR (Conversion Rate) for advertising models\n-Research advanced technologies for the advertising system\n-Experience with large-scale advertising system strategy algorithms; experience with RTB (Real-Time Bidding) is preferred\n-Background in machine learning and deep learning\n-Proficient in programming languages such as Python, with a solid foundation in data structures and algorithms\n-Strong team spirit, excellent communication, and learning abilities\n-Exceptional problem analysis and solving skills, with a passion for tackling challenging issues\n-Outstanding logical thinking skills, capable of discovering valuable patterns from large datasets",
"standard_classification": {
"std_category_code": "T011",
"std_aux_codes": [],
"std_category_status": null,
"std_taxonomy_version": "20261104"
}
}