Tower Research Capital · Hong Kong, Singapore, Shanghai
Machine Learning Engineer
机器学习研究平台工程师，负责大规模训练与实验基础设施。
最近核查時仍有刊登最近確認刊登：2026-11-03 18:33:34.938608+00
招聘狀態可能變動，申請前請查看原始職位。
薪酬未公開
學歷未说明
語言未說明
經驗2年以上分布式系统经验
來源發布日期：2026-03-12T22:01:57-04:00
工作內容
- 架构并开发机器学习研究平台
- 构建大规模实验与训练基础设施
- 优化分布式训练和 GPU 工作负载
- 提升实验追踪、版本管理和可观测性
職位要求
- 2年以上分布式系统经验
- 精通 Python
- 有 Linux HPC 或云平台经验
- 了解 GPU 工作负载和现代 ML 框架
查看招聘來源的要求摘錄
原始資料於 2026-11-01 查閱；內容可能已更新，請查看原始職位。
Qualifications 2+ years of experience designing and building large-scale distributed systems, ideally in support of research or data-intensive workloads Strong programming experience in Python, with a focus on writing clean, maintainable, and high-performance code Experience developing and operating applications on Linux-based HPC clusters and/or cloud platforms Solid understanding of distributed computing concepts, parallel processing, and resource management Experience with GPU-based workloads and familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX) Experience optimizing data pipelines and handling large-scale structured and unstructured datasets Strong troubleshooting skills with the ability to debug complex, cross-layer system issues Ability to work independently in a fast-paced, research-driven environment Strong communication skills and experience collaborating directly with researchers or data scientists Preferred Attributes Experience building internal ML platforms or research tooling at scale Familiarity with experiment tracking systems, workflow orchestration frameworks, and model lifecycle management Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes) Exposure to quantitative finance, simulation systems, or other latency- and performance-sensitive domains
來源：公司官网 · 資料查閱日期 2026-11-01。職位狀態及要求請以原始招聘頁面為準。