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Open nowPosted 38 days ago

AI Infra技术负责人(创作大规模训练方向) - 剪映CapCut

ByteDance19,208 open roles

Where
Shenzhen, Guangdong, Chinese Mainland
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Your applicationOpen nowAI Infra技术负责人(创作大规模训练方向) - 剪映CapCutByteDance · Shenzhen, Guangdong, Chinese Mainland
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 38 days ago

ByteDance median: 2 days open

The posting

团队介绍:剪映研发团队,主要支持剪映、CapCut、醒图、Hypic、即梦、Dreamina、小云雀、Pippit等多款国内外产品的研发工作,业务覆盖多元化影像创作场景,并孵化了多款AIGC明星产品,相关产品多次登顶国内外App Store 免费应用榜第一,并继续保持高速增长。加入我们,一起打造全球最受用户欢迎的影像创作和GenAI产品。

1、负责创作领域基础模型训练系统的整体架构设计与技术路线规划,带领团队搭建业界领先的超大规模训练基础设施,支撑视频、图像、音频等多模态生成模型的全流程训练; 2、负责超大规模机器学习系统架构的设计与开发,解决系统可扩展性、高可靠性、易用性等关键技术问题,支撑千卡及更大规模GPU集群的稳定高效运行; 3、负责机器学习系统前沿技术的调研与落地,以前瞻视角跟踪业界最佳实践,结合业务场景推动技术演进,持续提升训练效率与资源利用率; 4、与算法团队深度合作,进行算法与系统的联合优化,覆盖预训练、多模态生成模型训练、新硬件适配等场景; 5、统筹分布式模型训练、高性能计算、训练数据管理、集群资源调度等多个子方向的技术工作,推动各模块协同演进并培养关键方向负责人,深入架构、关键性能优化及重大稳定性问题,参与重要技术方案评审和复杂问题诊断,对关键技术决策和系统结果负责; 6、负责团队搭建、人才培养与技术氛围建设,提升团队整体技术能力,推动复杂技术项目从0到1落地。

1、本科及以上学历,计算机、软件工程、人工智能等相关专业优先; 2、具备5年以上机器学习系统或分布式系统工程经验,其中3年以上大模型相关经验,有技术团队管理、技术规划和团队搭建经验; 3、精通Python,熟练掌握PyTorch等深度学习框架,具备优秀的C++/Linux开发和调试能力,有扎实的计算机系统基础,能够深入一线参与关键技术攻坚; 4、拥有从零构建或深度主导基础模型训练管线的成功经验,主导过千卡级及以上分布式训练系统的设计、建设或优化; 5、深入理解分布式训练核心技术,包括数据并行、张量并行、流水线并行、序列并行及混合并行策略等,熟悉主流分布式训练框架,能够结合模型特点进行系统设计和技术选型; 6、在分布式训练、GPU高性能计算、算子与通信优化或训练框架中的至少一个方向具备专家级技术深度,能够对显存、通信与计算瓶颈做出可靠判断,并组织开展系统性性能优化;具备良好的跨团队协作和沟通表达能力,有较强的技术判断力、组织能力和推动力,能够带领团队完成长期技术建设及复杂项目落地。

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