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Open nowPosted 898 days ago

机器学习训练框架研发专家-Seed Model

ByteDance19,268 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now机器学习训练框架研发专家-Seed ModelByteDance · Beijing, Chinese Mainland

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

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 9 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 898 days ago

ByteDance median: 9 days open

The posting

1、负责字节跳动机器学习训练框架的研究与开发，服务于全公司各个产品； 2、参与机器学习训练框架底层组件的抽象、设计、优化与落地； 3、与全公司算法部门深度合作，为重点项目进行算法与系统的联合优化。

1、熟练掌握Linux环境下的C/C++与Python语言； 2、接触过至少一种机器学习框架（TensorFlow/PyTorch/MxNet或其他自研框架）； 3、有以下至少一项的背景知识与经验：GPU编程，编译器，高性能网络，分布式存储，集群调度； 4、具有独立解决问题的能力，良好的团队合作精神； 5、有强烈的工作责任心，较好的学习能力、沟通能力和自驱力； 6、有良好的工作文档习惯，及时按要求撰写更新工作流程及技术文档。

加分项： 1、深入研究过至少一种机器学习框架（TensorFlow/PyTorch/MxNet或其他自研框架）的底层架构和机制； 2、熟悉至少一种经典深度学习模型及其应用场景，如ResNet50，BERT，或者了解GAN，强化学习，图神经网络，AutoML等； 3、有硕士研究生学历或博士研究生学历阶段的计算机系统方向（包含分布式系统，并行计算，编程语言与编译器，网络，存储等）研究背景； 4、有软硬件联合设计的经验； 5、能使用数学工具分析深度学习训练中的优化算法。

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