Senior Machine Learning Researcher, Post-Training & Inference Optimization (Miami)

A top-tier global trading firm is building out its post-training research. The mandate is to take large pretrained models and adapt them to financial markets. Those models have to deal with noisy data, distributions that shift daily, and competitors who adapt to any edge. They also have to run within tight latency budgets. Performance is measured against real market outcomes rather than benchmarks or human raters. The firm trades at a scale few can match, so small model improvements have a measurable effect within days. You will join a small group of researchers whose work goes straight into production.