Quantitative Researcher (Santa Clara)

Brahma is conducting this search on behalf of our client.We're hiring across quantitative and machine learning roles and looking for strong talent at the intersection of rigorous analysis and applied impact. Whether your background skews toward research, engineering, or analytics, if you think in numbers and build with data, we want to talk.These are not cookie-cutter roles. You'll work on high-ambiguity problems, collaborate across disciplines, and be expected to go from exploratory analysis all the way through to deployed solutions.What You'll DoDesign and build machine learning models, statistical methods, and quantitative frameworksWork with large, complex datasets to surface actionable signalsRun experiments, measure outcomes, and iterate rigorouslyPartner with engineering, product, and business stakeholders to drive decisionsCommunicate findings clearly to technical and non-technical audiences alikeWhat We're Looking ForAdvanced degree (MS or PhD) in a quantitative discipline — statistics, mathematics, CS, physics, operations research, or equivalent experienceStrong foundations in probability, statistics, linear algebra, and optimizationProficiency in Python and relevant ML libraries (PyTorch, TensorFlow, scikit-learn, etc.)Experience with SQL and large-scale dataAbility to move fluidly between ambiguous research and production-quality workNice to HaveDomain experience in [NLP / computer vision / time series / causal inference / reinforcement learning]MLOps and cloud platform experience (AWS, GCP, Azure)Published research, open-source contributions, or competition track record