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Stellar Cyber

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Machine Learning Infrastructure Engineer - LLM & Agentic AI

US · United States · Remote · Full-time · Mid

Remote worldwideEquityAI & MLOpen to China
PythonJavaGoDockerKubernetesRESTgRPCMLOpsLangChainLangGraphAutoGenvLLMllama.cppRAGvector databases

Salary not stated

AI summary

About the company

Stellar Cyber是快速增长的全球网络安全领军企业，服务全球顶级企业、政府机构及超30%的顶级MSSP，以AI与自动化技术保护组织免受复杂网络威胁。

Role overview

本岗位为Stellar Cyber的全职远程机器学习基础设施工程师，负责构建支撑Autonomous SOC应用的稳健可扩展系统，开发Agentic AI框架、LLM推理基础设施等核心组件，与多团队协作对齐产品需求，推动AI安全防护技术创新。

Responsibilities

  • 设计构建Agentic AI框架，编排LLM智能体完成SecOps任务
  • 开发可扩展LLM推理基础设施，优化服务效率与资源管理
  • 开发与Open XDR平台交互的MCP服务器，集成LLM智能体
  • 开发Autonomous SOC应用所需的支持性API服务
  • 跨团队协作，对齐基础设施与产品需求

Requirements

  • 计算机科学相关学士/硕士学位或同等经验
  • 2年软件开发经验或1年高等学位行业经验
  • 2年数据结构或算法相关经验
  • 2年后端基础设施、分布式系统等MLOps项目经验
  • 掌握Docker、Kubernetes等云部署技术
  • 熟悉Python、Java、Go至少一种编程语言

Nice to have

  • 有金融、国防等高敏感领域LLM应用经验
  • 熟悉LangChain等生成式AI框架及RAG等技术
  • 具备ML系统可观测性实践经验
  • 有LLM推理部署与扩展经验
  • 了解SecOps相关概念与流程

Pay & benefits

  • 基础薪资150000-215000美元/年，含奖金与股权
  • Pre-IPO股票期权
  • 医疗、牙科及视力保险
  • 401(k)计划
  • 带薪休假
  • 员工援助计划

Notes for China-based candidates

  • 可远程工作，时区需适配团队协作
  • 薪资以美元结算，含奖金与股权
  • 需具备对应技术经验与学历要求
  • 无明确地域限制，全球候选人可申请

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Excerpt

Join a fast-growing global leader in cybersecurity, trusted by some of the biggest names in the industry. In addition to some of the world’s largest enterprises and government agencies, more than 30% of the world’s top MSSPs rely on our platform. We’re at the forefront of protecting organizations…

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Machine Learning Infrastructure Engineer - LLM & Agentic AI · Stellar Cyber · Global Search | Fintegrity