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Open nowPosted 72 days ago

机器学习系统调度研发工程师 - 火山方舟

ByteDance19,257 open roles

Where
Hangzhou, Zhejiang, Chinese Mainland
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Your applicationOpen now机器学习系统调度研发工程师 - 火山方舟ByteDance · Hangzhou, Zhejiang, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

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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 16 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%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 72 days ago

ByteDance median: 16 days open

The posting

团队介绍：火山方舟是火山引擎推出的一站式大模型服务平台，是中国大模型市场产品和份额领跑者。平台提供模型推理、评测、精调等全流程服务。方舟搭载了豆包及业界主流大模型，提供丰富的插件生态和AI应用开发服务，并通过稳定可靠的安全互信方案、专业的算法技术服务，全方位保障企业级AI应用落地。

1、负责机器学习系统资源调度的设计和开发，服务于NLP/CV/Speech等多方向场景的模型训练、评估及推理； 2、负责GPU、CPU等多种异构资源的编排，实现稳定资源、潮汐资源、混布资源、多云资源的合理化使用； 3、负责通过技术手段实现计算资源、RDMA高速网络资源、存储资源的最优调度，充分发挥大规模分布式集群的计算能力； 4、负责多机房、多地域、多云场景的在离线任务与服务调度，实现负载合理化分布。

1、2027届获得本科及以上学历； 2、熟练掌握Linux环境下的Go/Python/Shell等1至2种以上语言； 3、熟悉Kubernetes架构和生态，熟悉Docker/Containerd/Kata/Podman等容器技术，有丰富的机器学习系统实践和开发经验； 4、掌握分布式系统原理，参与过大规模分布式系统的设计、开发和维护； 5、有优秀的逻辑分析能力，能够对业务逻辑进行合理的抽象和拆分，具备强烈的工作责任心，较好的学习能力、沟通能力和自驱力。

加分项： 1、熟悉至少一种主流的机器学习框架（TensorFlow/PyTorch）； 2、有以下某一方向领域的经验：AI Infrastructure，HW/SW Co-Design，High Performance Computing，ML Hardware Architecture（GPU、Accelerators、Networking）。

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