Machine Learning Researcher – Applied ML | Stealth Quant Firm

Machine Learning Researcher – Applied ML | Stealth Quant Firm A well-funded, research-driven investment firm is hiring experienced ML researchers to work on high-impact problems in forecasting and optimization. The team combines deep machine learning expertise with vast, noisy real-world datasets to make fast, measurable decisions at scale. You’ll lead projects from idea to production — designing models, running experiments, mentoring researchers, and deploying systems that operate live in the market. The environment is collaborative, flat, and driven by curiosity — no silos, no bureaucracy, and no chasing short-term hype. What you’ll do: Build and deploy predictive models using advanced ML/statistical methods Lead complex research initiatives with clear, real-world feedback loops Mentor team members and shape research direction Stay close to academic progress and apply it pragmatically What we’re looking for: 5–10+ years in applied ML/statistics roles PhD (or equivalent experience) in a technical field Strong coding (Python or R) and production-level model experience Interest in applying research to real-world, high-stakes decisions Visa sponsorship and relocation support available.