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Open nowPosted 46 days ago

AI Infra研发实习生 - Commercial AI

ByteDance19,204 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowAI Infra研发实习生 - Commercial AIByteDance · Beijing, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on ByteDance's own form.

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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 46 days ago

ByteDance median: 2 days open

The posting

团队介绍：Commercial AI 负责中国交易与广告的to B应用统一模型建设，包含基础模型能力、AI Infra、统一商业数据、评测等方向。

日常实习：面向全体在校生，为符合岗位要求的同学提供为期3个月及以上的项目实践机会。

1、负责超大规模大模型系统架构的设计开发，解决系统高并发、高可靠性、高可扩展性等技术难关； 2、覆盖机器学习系统多个子方向领域的工作，包括：资源调度、模型训练、模型推理、数据管理、工作流编排等； 3、负责机器学习系统前瞻技术的调研和引入，比如：最新硬件架构、异构计算系统、编译优化、强化学习RL/Agent环境交互技术等的引入落地； 4、与算法部门深度合作，进行算法与系统的联合优化。

1、本科及以上学历在读，计算机、软件工程、人工智能等相关专业优先； 2、工程或机器学习算法有深厚的功底和经验； 3、历史上解决过难题，遇到难题时能静下心，没有畏难情绪，能查到底层，观察敏锐，逻辑清晰； 4、有强烈的工作责任心，较好的学习能力、沟通能力和自驱力； 5、良好的沟通协作能力，能和团队一起探索新技术，推进技术进步。

加分项： 1、熟悉LLM、NLP、CV、语音相关的算法和技术，熟悉大模型训练、Diffusion、RL算法者优先； 2、熟练掌握C++/Python，精通数据结构与算法，并有并发编程基础；熟练使用PyTorch/TensorFlow或其他深度学习框架，熟练掌握深度学习性能加速技术包括但不限于计算图优化，算子性能优化，通信优化等； 3、有经验者优先，实践动手能力强，ACMICPC、NOI/IOI、Top Coder、Kaggle比赛获奖者优先； 4、有以下某一方向领域的经验：CUDA、RDMA、AI Infrastructure、HW/SW Co-Design、High Performance Computing、ML Hardware Architecture（GPU、Accelerators、Networking）、ML for System、Distributed Storage。

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