Austin Currently hiring
Machine Learning Research Engineer
Global high-frequency trading firm
Applies machine learning techniques to systematic trading strategies across futures, equities, and fixed income markets, translating research into live production systems.
What does a machine learning research engineer at a trading firm actually work on, versus a typical ML role?
Unlike many ML roles focused on long-term model development, this work follows a fast research-to-production cycle, ideas are tested through large-scale backtesting and deployed into live trading relatively quickly, with continuous iteration based on real market feedback.
Do I need quantitative finance experience for an ML research engineering role at a trading firm?
A strong machine learning and data background matters more than prior finance exposure, engineers are expected to take real ownership of the systems they build across the full stack, from research pipelines through to production.
How does this role differ from a pure quantitative researcher role?
The research engineer sits closer to the applied and production side of machine learning, focused on scaling and deploying systems, while a quant researcher typically spends more time on the underlying statistical modelling and strategy design itself.
