职位详情

职位列表 链接有效 不适用(官网全量采集) official:bytedance:7649353067440605493

机器学习负责人(搜索算法)-TikTok内容生态 Machine Learning Leader (Search Algorithm) - TikTok Content Ecology

未披露 · 北京 · 字节跳动

主分类:搜索推荐与业务决策算法研发
算法与数据
来源 JD 数据(旧分类保留,当前主分类见上方)
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        "job_title": "机器学习负责人(搜索算法)-TikTok内容生态 Machine Learning Leader (Search Algorithm) - TikTok Content Ecology",
        "job_level": "未披露",AI生成
        "work_category": "全职",AI生成
        "department": "未披露",
        "location": "北京",
        "work_mode": "未披露",AI生成
        "job_category": "算法"AI生成
    },
    "company": {
        "company_name": "字节跳动",
        "company_industry": "互联网 / 数字内容 / 电商",
        "company_size": "10000人以上",
        "company_website": "bytedance.com",
        "company_description": "字节跳动提供内容创作、信息分发、电商和协作产品,旗下产品包括抖音、今日头条、TikTok和飞书。"
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    "requirements": {
        "working_years": 5,
        "degree": "本科及以上学历",
        "language": "未披露",AI生成
        "visa_support": "未披露",
        "responsibilities": "1、团队领导与执行:领导并指导一个由约10名机器学习工程师组成的高效团队;全面负责团队的技术路线图(产品路径图)、执行力、生产力以及在组织内部的整体业务影响力;\n2、战略愿景:制定OKR并确立长期技术愿景,将其转化为TikTok搜索业务的业务增长;\n3、卓越技术:保持在AI/ML、CV/NLP、搜索/推荐和生成式AI(GenAI)领域的工业界和学术界前沿;确保团队在算法/建模以及大规模工程落地(生产环境实现)两方面均保持业界领先水平;\n4、跨职能协作:促进跨团队、跨职能的高效、高带宽合作,共同推进统一的AI战略项目。\n\n1.Team Leadership & Execution: Lead and mentor an efficient team of around 10 machine learning engineers; take full charge of the team's technical roadmap, execution capability, productivity and overall business influence within the organization;\n2.Strategic Vision: Set OKRs and define long-term technical vision, and translate them into business growth for TikTok Search;\n3.Technical Excellence: Stay at the forefront of industry and academia in AI/ML, CV/NLP, search/recommendation and Generative AI (GenAI); ensure the team maintains industry-leading capabilities in algorithm modeling and large-scale engineering deployment in production environments;\n4.Cross-functional Collaboration: Drive efficient and high-bandwidth cooperation across teams and functions to advance unified AI strategic projects.",
        "requirements_text": "1、本科及以上学历,计算机科学等相关专业,或具备同等的实际工作经验;5年以上软件工程实操经验,并专注于AI/ML、CV/NLP以及推荐/搜索算法;\n2、2年以上大模型/多模态大模型(LLM/MLLM)实操经验,特别是在后训练(Post-Training,如SFT、RLHF)和/或推理优化领域;1年以上Agentic Modeling、工作流及相关框架的开发经验;\n3、1年以上技术团队管理或领导经验(有团队管理经验者优先);扎实掌握机器学习基础知识,并熟悉现代AI技术栈与基础设施;\n4、具备定义长期技术愿景并带领团队交付可衡量业务成果的成功案例;具备优秀的沟通与人际交往能力,能够与多元化的全球团队进行无缝协作。\n\n1.Bachelor's degree or above in Computer Science or related majors, or equivalent practical work experience; over 5 years of hands-on software engineering experience focusing on AI/ML, CV/NLP, recommendation and search algorithms;\n2.Over 2 years of practical experience with large language models and multimodal large models (LLM/MLLM), especially in Post-Training including SFT, RLHF and/or inference optimization; over 1 year of development experience in Agentic Modeling, workflows and related frameworks;\n3.Over 1 year of experience in managing or leading technical teams (team management experience is preferred); solid grasp of fundamental machine learning knowledge and familiarity with modern AI tech stack and infrastructure;\n4.Proven track record of defining long-term technical vision and leading teams to deliver measurable business outcomes; possess strong communication and interpersonal skills to collaborate seamlessly with diverse global teams.",
        "skills": [AI生成
            "机器学习",
            "自然语言处理",
            "搜索算法",
            "团队管理",
            "团队协作",
            "大语言模型"
        ],
        "preferred_qualifications": "3、1年以上技术团队管理或领导经验(有团队管理经验者优先);3.Over 1 year of experience in managing or leading technical teams (team management experience is preferred)",
        "job_highlights": "未披露"
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    "posting": {
        "posting_id": "7649353067440605493",
        "post_date": "2026-06-09",
        "hire_time": "未披露",
        "update_date": "20260917",
        "job_url": "https://jobs.bytedance.com/experienced/position/7649353067440605493/detail"
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    "fulltext": "机器学习负责人(搜索算法)-TikTok内容生态 Machine Learning Leader (Search Algorithm) - TikTok Content Ecology\n职位描述\n1、团队领导与执行:领导并指导一个由约10名机器学习工程师组成的高效团队;全面负责团队的技术路线图(产品路径图)、执行力、生产力以及在组织内部的整体业务影响力;\n2、战略愿景:制定OKR并确立长期技术愿景,将其转化为TikTok搜索业务的业务增长;\n3、卓越技术:保持在AI/ML、CV/NLP、搜索/推荐和生成式AI(GenAI)领域的工业界和学术界前沿;确保团队在算法/建模以及大规模工程落地(生产环境实现)两方面均保持业界领先水平;\n4、跨职能协作:促进跨团队、跨职能的高效、高带宽合作,共同推进统一的AI战略项目。\n\n1.Team Leadership & Execution: Lead and mentor an efficient team of around 10 machine learning engineers; take full charge of the team's technical roadmap, execution capability, productivity and overall business influence within the organization;\n2.Strategic Vision: Set OKRs and define long-term technical vision, and translate them into business growth for TikTok Search;\n3.Technical Excellence: Stay at the forefront of industry and academia in AI/ML, CV/NLP, search/recommendation and Generative AI (GenAI); ensure the team maintains industry-leading capabilities in algorithm modeling and large-scale engineering deployment in production environments;\n4.Cross-functional Collaboration: Drive efficient and high-bandwidth cooperation across teams and functions to advance unified AI strategic projects.\n\n职位要求\n1、本科及以上学历,计算机科学等相关专业,或具备同等的实际工作经验;5年以上软件工程实操经验,并专注于AI/ML、CV/NLP以及推荐/搜索算法;\n2、2年以上大模型/多模态大模型(LLM/MLLM)实操经验,特别是在后训练(Post-Training,如SFT、RLHF)和/或推理优化领域;1年以上Agentic Modeling、工作流及相关框架的开发经验;\n3、1年以上技术团队管理或领导经验(有团队管理经验者优先);扎实掌握机器学习基础知识,并熟悉现代AI技术栈与基础设施;\n4、具备定义长期技术愿景并带领团队交付可衡量业务成果的成功案例;具备优秀的沟通与人际交往能力,能够与多元化的全球团队进行无缝协作。\n\n1.Bachelor's degree or above in Computer Science or related majors, or equivalent practical work experience; over 5 years of hands-on software engineering experience focusing on AI/ML, CV/NLP, recommendation and search algorithms;\n2.Over 2 years of practical experience with large language models and multimodal large models (LLM/MLLM), especially in Post-Training including SFT, RLHF and/or inference optimization; over 1 year of development experience in Agentic Modeling, workflows and related frameworks;\n3.Over 1 year of experience in managing or leading technical teams (team management experience is preferred); solid grasp of fundamental machine learning knowledge and familiarity with modern AI tech stack and infrastructure;\n4.Proven track record of defining long-term technical vision and leading teams to deliver measurable business outcomes; possess strong communication and interpersonal skills to collaborate seamlessly with diverse global teams.\n1、团队领导与执行:领导并指导一个由约10名机器学习工程师组成的高效团队;全面负责团队的技术路线图(产品路径图)、执行力、生产力以及在组织内部的整体业务影响力;\n2、战略愿景:制定OKR并确立长期技术愿景,将其转化为TikTok搜索业务的业务增长;\n3、卓越技术:保持在AI/ML、CV/NLP、搜索/推荐和生成式AI(GenAI)领域的工业界和学术界前沿;确保团队在算法/建模以及大规模工程落地(生产环境实现)两方面均保持业界领先水平;\n4、跨职能协作:促进跨团队、跨职能的高效、高带宽合作,共同推进统一的AI战略项目。\n\n1.Team Leadership & Execution: Lead and mentor an efficient team of around 10 machine learning engineers; take full charge of the team's technical roadmap, execution capability, productivity and overall business influence within the organization;\n2.Strategic Vision: Set OKRs and define long-term technical vision, and translate them into business growth for TikTok Search;\n3.Technical Excellence: Stay at the forefront of industry and academia in AI/ML, CV/NLP, search/recommendation and Generative AI (GenAI); ensure the team maintains industry-leading capabilities in algorithm modeling and large-scale engineering deployment in production environments;\n4.Cross-functional Collaboration: Drive efficient and high-bandwidth cooperation across teams and functions to advance unified AI strategic projects.\n1、本科及以上学历,计算机科学等相关专业,或具备同等的实际工作经验;5年以上软件工程实操经验,并专注于AI/ML、CV/NLP以及推荐/搜索算法;\n2、2年以上大模型/多模态大模型(LLM/MLLM)实操经验,特别是在后训练(Post-Training,如SFT、RLHF)和/或推理优化领域;1年以上Agentic Modeling、工作流及相关框架的开发经验;\n3、1年以上技术团队管理或领导经验(有团队管理经验者优先);扎实掌握机器学习基础知识,并熟悉现代AI技术栈与基础设施;\n4、具备定义长期技术愿景并带领团队交付可衡量业务成果的成功案例;具备优秀的沟通与人际交往能力,能够与多元化的全球团队进行无缝协作。\n\n1.Bachelor's degree or above in Computer Science or related majors, or equivalent practical work experience; over 5 years of hands-on software engineering experience focusing on AI/ML, CV/NLP, recommendation and search algorithms;\n2.Over 2 years of practical experience with large language models and multimodal large models (LLM/MLLM), especially in Post-Training including SFT, RLHF and/or inference optimization; over 1 year of development experience in Agentic Modeling, workflows and related frameworks;\n3.Over 1 year of experience in managing or leading technical teams (team management experience is preferred); solid grasp of fundamental machine learning knowledge and familiarity with modern AI tech stack and infrastructure;\n4.Proven track record of defining long-term technical vision and leading teams to deliver measurable business outcomes; possess strong communication and interpersonal skills to collaborate seamlessly with diverse global teams.",
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