| Company | Trading and technology company |
| Company Info | Tower Research Capital is a leading trading and technology firm known for developing some of the world's fastest and most sophisticated electronic trading platforms. It operates globally across multiple asset classes and markets. |
| Job Title | Senior Machine Learning Infrastructure Engineer |
| Job Short Desc | Build scalable infrastructure powering large-scale machine learning research. Partner with top researchers, design high-performance distributed systems, and enable faster experimentation, training, and simulation across advanced compute environments. |
| Salary | Variable based on experience |
| Locations | APAC - Hong Kong (China) |
| Visa | Y |
| Job Summary | This role focuses on building and evolving a high-performance machine learning research platform used for large-scale experimentation, training, and simulation. You will architect distributed infrastructure that supports GPU-accelerated workloads across hybrid compute environments, ensuring scalability, reliability, and reproducibility. Working closely with quantitative researchers, you will translate evolving research workflows into robust engineering solutions while improving experiment management, data pipelines, and system observability. The position offers the opportunity to solve complex engineering challenges, optimize large-scale compute systems, and contribute to the long-term architecture of a cutting-edge research platform. |
| Criteria | | Architect scalable ML research infrastructure across diverse compute environments | | Optimize Python pipelines for high-throughput distributed GPU workloads | | Collaborate with researchers to accelerate experimentation and innovation |
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| Apply | Apply |