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Open nowPosted 51 days ago

Agent平台开发工程师 - Data AML

ByteDance19,260 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowAgent平台开发工程师 - Data AMLByteDance · Beijing, Chinese Mainland
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The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 27 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.3%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 51 days ago

ByteDance median: 27 days open

The posting

团队介绍:Data AML是字节跳动的机器学习中台,为抖音/今日头条/西瓜视频等业务提供推荐/广告/CV/语音/NLP的训练和推理系统。为公司内业务部门提供强大的机器学习算力,并在这些业务的问题上研究一些具有通用性和创新性的算法。同时,也通过火山引擎将一些机器学习/推荐系统的核心能力提供给外部企业客户。

1、参与Agent平台的设计与研发,面向AI Infra场景建设智能诊断、智能问答、自动化运管和研发效能工具; 2、参与LLM应用工程化能力建设,包括RAG、Agent-Workflow、工具调用、上下文管理、任务编排、结果评测等; 3、将Agent能力与内部平台、监控告警、日志系统、知识库、发布系统、资源治理系统等进行集成,提升复杂问题处理效率; 4、参与面向训练/推理场景的稳定性诊断能力建设,支持日志分析、告警归因、变更排查、故障辅助定位等场景; 5、持续优化Agent在真实生产环境中的准确性、稳定性、可控性和用户体验; 6、跟进LLM Agent、AIOps、MLOps、AI Infra等方向的技术进展,并推动前沿技术在团队业务场景中落地。

1、2027届获得本科及以上学历,计算机、软件工程、人工智能、数据科学、自动化、电子信息等相关专业; 2、具备扎实的计算机基础,熟悉操作系统、计算机网络、数据库、数据结构与算法等基础知识; 3、熟悉至少一门编程语言,如Go、Python等,具备良好的代码能力和工程实现能力; 4、了解LLM应用开发相关技术,如RAG、Prompt Engineering、Agent、Function Calling、Embedding、向量检索、知识库构建等; 5、具备AI相关实习经历,包括但不限于LLM应用、智能问答、Agent平台、AIOps、MLOps、机器学习平台、数据分析平台、AI工具链等方向; 6、具备良好的学习能力、问题拆解能力和沟通协作能力,能够在复杂业务场景中理解问题并推动工程落地。

加分项 1、有LLM Agent、RAG、智能问答、Copilot、AI助手、AIOps平台等项目或实习经验; 2、熟悉LangChain、LlamaIndex、MCP、向量数据库、模型评测、上下文工程等相关技术; 3、熟悉Kubernetes、云原生、微服务、可观测、日志分析、监控告警、CI/CD等工程平台技术; 4、有后端平台开发、分布式系统、工程效能平台或基础设施平台相关实践经验; 5、对AI Infra、AIOps、研发效能、稳定性治理等方向有持续兴趣。

你将获得 1、深入参与大规模AI训练与推理基础设施中的Agent平台建设; 2、在真实生产场景中探索LLM Agent的工程化落地,解决复杂系统诊断和效率提升问题; 3、接触AIOps、AI Infra、资源治理、可观测、稳定性、研发效能等平台方向; 4、与算法、基础架构、平台工程、SRE等团队协作,快速提升工程能力和系统视野。

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