Senior Machine Learning Engineer focused on building and improving real-time fraud prediction models for a fintech company. Responsibilities include developing new models, scaling feature pipelines, prototyping, productionizing models, and monitoring their health. Requires experience in ML model development, production deployment, and handling tabular/graph/behavioral data.

Machine Learning Engineer II focused on fraud detection at Affirm. This role involves developing and iterating on fraud prediction models, building and scaling feature pipelines, prototyping new modeling ideas, productionizing models into real-time decision systems, and monitoring model health. Requires experience with tabular data, gradient-boosted trees, deep learning frameworks, distributed data processing, and ML lifecycle tooling.