WHAT YOU'LL DO:

📍Build and operationalize conventional and generative AI based models to solve knowledge management, financial services and productivity related problems 📍Design and implement scalable, auditable, and maintainable machine learning services at Ripple 📍Collaborate with Ripple engineers and data scientists to build a premier AI platform 📍Work closely with scientists and software as well as ML engineers to drive real-time model implementations and deliver novel and highly impactful features. 📍Lead development of scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. 📍Mentor and coach junior team members 📍Research and implement novel machine learning and statistical approaches.

WHAT YOU'LL BRING:

📍Masters or PhD (preferred) in computer science, statistics, physics, or other quantitative field 📍10+ years of hands-on experience delivering production machine learning solutions to sophisticated business problems 📍5+ years demonstrated ability with Python and/or Java 📍Broad machine learning experience including statistical modeling, time series analysis/forecasting and experimentation, bonus if in finance and trading domains, especially FX 📍Experience with deep learning models, and ideally exposure to Generative AI 📍Experience with cloud-based data processing and machine learning services and tools 📍Experience recruiting and mentoring a premier team of applied scientists 📍Excellent written and verbal communication skills, especially with non-technical senior leaders 📍Attention to detail and a dedication to excellence 📍An entrepreneurial problem solver with a bias for action