| Company | European Trading Firm |
| Company Info | Market leading proprietary trading firm that has offices in every continent around the world. They use technology as their trading advantage and reward their people with the best environment and lucrative financial rewards. |
| Job Title | Principal ML Infrastructure Architect |
| Job Short Desc | Help shape a next-generation, high-performance machine learning platform driving real-time trading decisions. Build advanced ML infrastructure, accelerate research, and define foundational standards that scale across global engineering and research teams. |
| Salary | Variable based on experience |
| Locations | APAC - AUS - Sydney |
| Visa | Y |
| Job Summary | This role leads the design and evolution of end-to-end machine learning infrastructure powering high-frequency trading research and execution. You’ll architect scalable systems for data access, distributed training, model evaluation, and production deployment while collaborating closely with researchers to bring cutting-edge deep learning approaches into live trading environments. With significant influence over foundational platform choices, you’ll set engineering standards, drive best practices, and shape how ML is developed and delivered across global teams. The position combines deep technical ownership with meaningful impact on real-world trading performance. |
| Criteria | | Architect large-scale ML training systems | | Partner with researchers to speed iteration | | Optimize GPU clusters for distributed workloads |
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| Apply | Apply |