Affirm

Senior Manager to lead ML Platform engineering at Affirm, focusing on building and operating infrastructure for feature computation, model training, and model serving at scale. The role involves technical strategy, roadmap ownership, team leadership, and staying ahead of AI/ML trends.

Senior Manager to lead ML Platform engineering organization, building and operating critical infrastructure for ML capabilities at Affirm. Focus on real-time and batch feature computation, model training, and model serving at scale, including transformer-based models and GPU compute.

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.

Senior Staff ML Engineer at Affirm focused on ML Underwriting. This role involves defining and driving multi-year technical strategy for ML, leading the design, implementation, and scaling of advanced ML systems, and providing broad technical leadership across the ML organization. The engineer will mentor senior engineers, shape long-term modeling capabilities, and ensure operational excellence for critical ML systems. Experience with large-scale, real-time ML systems, end-to-end ML system design, Python, PyTorch, XGBoost, and distributed ML infrastructure is required.

Senior Staff Machine Learning Engineer at Affirm, focusing on ML Underwriting. This role involves defining and driving multi-year technical strategy for ML, leading the design, implementation, and scaling of advanced ML systems, and providing technical leadership and mentorship. The position requires extensive experience in deploying and operating large-scale, real-time ML systems, with a focus on representation learning, embedding-based modeling, and sequence modeling.