Why you should join us We’re building a research lab with a real-time feedback loop: the financial markets. We're working with structured and unstructured data at scale to build temporal AI systems that adapt, predict, and act. Our edge isn’t secret data or microwaves — it’s the speed at which we iterate and learn. You’ll lead ML/AI strategy at the intersection of research and live deployment. We’re starting in options - complex, under-modeled, and full of opportunity. Join a frontier team with over a decade of experience in quant trading. These aren’t logos from internships - we’ve started and led teams at Optiver, DRW, and Argo AI. What you’ll do Lead development of predictive models, RL agents, and signal discovery workflows. Integrate alternative data, design experiments, and rapidly test hypotheses in sim + live trading. Measure your impact in market returns. Work side-by-side with the founders to test predictions in real markets and learn from every outcome - good and bad. Shape the research direction, modeling stack, and experimental culture from day one. What we’re looking for Deep expertise in ML/AI - especially time-series, forecasting, representation learning. Strong coding background: Python, data pipelines, AWS/GCP infra. Experience deploying models in production: you care about what works, not just what looks good on paper. Clear thinker, fast builder, excited to work at the edge of research and execution Zero experience in financial markets is expected. Drive and curiosity matter. You’ll be given the autonomy to do some of the best work for your life.