Upstart's Verifications Decisioning team builds core capabilities that i) efficiently deliver online data sources for consumption by Machine Learning (ML) models to improve loan performance and ii) automate decisioning of applications using ML-driven rules to reduce friction and prevent fraud. Upstart has one of the lowest fraud rates in the industry and highest level of automation. This means that the majority of applicants can receive their funds in under 24 hours after they apply. Looking ahead, Verifications need to further push the boundaries of automation doubling down on initiatives that accelerate accuracy of ML models while extending those benefits beyond its flagship Personal Loans business to emerging products such as HELOC, Auto, and Small Dollar loans. As a Software Engineer at Upstart, you will build services to integrate with new data sources, implement and maintain highly scalable gRPC APIs for internal teams to access data, and partner closely with stakeholders to ensure data quality standards are met and ensured through thorough testing frameworks. These efforts will contribute in accelerating improvements to ML models using richer and more reliable data sources.