Staff Machine Learning Engineer (ML Portfolio)
Affirm- Full Time
- Expert & Leadership (9+ years)
Candidates should possess a Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, and have at least 8 years of experience in machine learning, with a strong focus on operations and building scalable ML systems. Experience with large datasets and distributed computing environments is essential, along with expertise in model development, deployment, and monitoring.
As a Senior Staff Machine Learning Scientist, you will define and execute the strategic vision for ML across Operations and adjacent business areas, shape foundational ML strategy and platforms, mentor and guide the next generation of ML talent, and influence the development of Monzo’s ML capabilities across diverse areas including workforce planning, customer support experience, and operational efficiency. You will also work cross-functionally with senior leadership, engineering teams, and business stakeholders to define and execute the long-term ML strategy, and contribute to the development of AI-driven products that improve customer outcomes.
Digital-only banking platform for consumers
Monzo operates as a digital-only banking platform focused on providing a modern way for individuals to manage their finances. Its main product is a mobile app that allows users to track their income, spending, and savings easily. The app includes features that help users save money, such as automatically setting aside a portion of their paycheck or rounding up transactions to the nearest dollar. Monzo generates revenue through interest on deposits, fees for certain services, and interchange fees from card transactions, as well as offering overdrafts and personal loans. What sets Monzo apart from traditional banks is its real-time balance updates and instant spending notifications, which help users stay informed about their finances. The goal of Monzo is to provide a convenient, mobile-first banking experience that meets the needs of its growing customer base, which has surpassed 8 million users.