Senior Machine Learning Platform Engineer

Mustard Systems develops sports models and trading strategies using large datasets, software, and statistical models. The Senior Machine Learning Platform Engineer will improve and operate the platform used by quantitative researchers, architecting systems, building shared tools, improving performance, and making research workflows reliable in production.

Responsibilities:

• Architecture. Find the weak points in the systems our quants depend on, then propose and deliver better ones. This includes how we use compute, both on our own hardware and in the cloud
• Tooling. Build shared tools so that quants stop doing the same repetitive engineering work again and again
• Technical direction. Bring in new technology when it gives a real improvement, and own its introduction. Write down the important decisions so that no system depends on one person
• Performance. Profile and speed up the workloads that matter most: simulation, model training, validation and backtesting. This covers CPU, memory, I/O and parallelism
• The path to production. Make it reliable to move work from a research notebook to something that runs every day, with tests, monitoring and reproducible environments
• You own your work from end to end. You find the problem, deliver the fix, run it, and measure the result
• You will work closely with Quant, Development, Infrastructure and Data teams