Senior Applied Scientist role at Ramp focusing on credit risk. The role involves designing, building, and optimizing machine learning models for credit decisioning and portfolio management. It requires full lifecycle ownership from data exploration to production deployment and monitoring, with a strong emphasis on applying ML, statistics, causal inference, and optimization to solve business problems. Collaboration with cross-functional teams and driving data-driven insights are key.

Backend Engineer role focused on building internal tooling and infrastructure for operations teams at Ramp, a fintech company. The role involves designing and developing full-stack applications, backend services, and integrations, with a specific emphasis on leveraging AI tooling to automate workflows, enhance productivity, and improve decision-making within these internal systems. The position requires strong software engineering experience, backend architecture knowledge, and demonstrated aptitude with AI technologies, particularly LLMs, to solve business problems.

Software Engineer, Core Product at Ramp, focusing on backend systems for spend controls, approval workflows, and card transactions. Integrates with Ramp's AI platform for automation and anomaly detection, handling billions in transactions. Requires strong backend experience and product sense.