Staff Machine Learning Scientist

As a Staff Machine Learning Scientist within our Data+ML organization, you will lead the development of customer-facing, production deployed Machine Learning capabilities to domain problems within the payments space. This role will straddle both engineering and science concerns requiring a strong understanding of ML development methodology and theory, and modern MLOps practices and techniques. Additionally, this role will help inform the technical trajectory of our ML ecosystem, support our AI strategy in alignment with our business objectives, and drive excellence in our ML development practices. Develop ML models and supporting technical capabilities across the end-to-end ML development lifecycle from ideation and prototyping through production deployment and monitoring. Build ML capabilities that address critical internal and external customer-facing challenges in the payments space including risk, fraud, disputes processing, and named entity recognition. Collaborate with key GTM, Product, and Engineering stakeholders to identify model development opportunities, guide decision making by leveraging payments expertise, and create prototypes to assess feasibility and expected business value. Partner with legal, regulatory and risk stakeholders to ensure compliance of ML development efforts with all applicable legal and regulatory requirements. Work together with Product and Technical Program Managers to align the technical vision for our ML ecosystem to the needs of our ML scientists.