AXQ
AXQ
Company overview

About AXQ AXQ Group is a global quantitative investment firm with operations in China and the United States. In China, we manage capital through 安贤投资, an AMAC-registered Private Fund Manager. In the US, we operate AXQ Capital, an SEC-Registered Investment Advisor. Our Approach We deploy systematic, research-driven strategies powered by rigorous quantitative methods and cutting-edge technology. Our sophisticated research and trading framework is designed to generate consistent alpha across multiple asset classes and trading frequencies, operating reliably in over 20 equity and futures markets worldwide. Our Team We bring together exceptional talent from diverse backgrounds. Our team members are graduates of leading institutions including Harvard, Princeton, Columbia, Peking University, and Tsinghua University. They bring deep expertise from premier global quantitative firms such as Citadel, Jump Trading, Tower Research, and Schonfeld. Our Presence With offices in Beijing, Shanghai, Xiamen, and New York, we cultivate a collaborative culture with opportunities for cross-office exchange and international training. Join us in shaping the future of quantitative investing! For inquiries: [email protected]

Careers at AXQ

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Quantitative DeveloperQuantitative Developer
AXQ
New York, United States (region)
Published: 2025-11-12  •  Beijing, China (city)
On-site
Full-time

关于我们

安贤投资 致力于以严谨的量化方法和先进的信息技术驱动投资。我们融合现代金融理论、云计算架构、机器学习与大模型,构建科学高效的量化研究框架,打造多市场多策略投资体系。策略布局覆盖全球股票统计套利、A股指数增强、CTA、股票日内、期货高频等领域,并在全球20多个股票和期货市场稳健运行。自2018年成立以来,安贤为海内外投资者持续创造优异回报,资产管理规模稳步增长。公司在北京、上海、厦门和纽约设有办公室,为国内员工提供海外交流培训的机会。

岗位职责

作为AI基础设施工程师(AI Infrastructure Engineer),您将负责构建和维护公司的AI技术基础设施,为各类AI应用提供稳定高效的技术支撑。您的主要职责包括:

  • 设计和实现分布式机器学习训练平台,支持量化模型训练
  • 构建模型部署和推理服务基础设施,确保低延迟高可用
  • 优化GPU/CPU资源调度,提升计算资源利用效率
  • 建立MLOps流水线,实现模型开发、测试、部署的自动化
  • 构建企业级AI服务平台,支持内部AI工具快速部署
  • 维护AI模型监控体系,保障生产环境模型稳定性

岗位要求

  • 国内外知名院校计算机、软件工程或相关专业本科及以上学历
  • 精通 Python,熟悉 Go、C++ 或 Rust 等系统编程语言
  • 有 Kubernetes、Docker 等容器化技术使用经验
  • 熟悉 GPU 编程和 CUDA 开发,了解分布式计算框架
  • 有机器学习框架使用经验(PyTorch、TensorFlow 等)
  • 有云服务(AWS、Azure、GCP)和基础设施即代码使用经验

加分项

  • 熟悉大模型推理优化技术
  • 有企业级AI平台建设和运营经验
  • 有高并发、低延迟系统设计和优化经验
  • 熟悉量化交易系统和alpha model开发流程