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.

Manager of ML Engineers building an economic decisioning engine for underwriting in a fintech company, focusing on strategy, talent development, and cross-functional collaboration.

Manager of ML Engineering for Affirm's underwriting group, focusing on building and scaling the economic decisioning engine using ML techniques for underwriting and optimizing applications. The role involves setting technical strategy, mentoring engineers, and collaborating with product and risk leaders.

Manager of Machine Learning Engineering focused on fraud detection in a fintech setting. The role involves leading a team to develop and deploy ML models for fraud prevention, covering the full ML lifecycle from feature development to production monitoring. Emphasis on advanced techniques like representation learning and transformers, and cross-functional collaboration.

Manager of Machine Learning Engineering for Fraud at Affirm, focusing on building and iterating on fraud detection models throughout the ML lifecycle, including advanced techniques like representation learning and transformers. The role involves setting strategy, leading a team, and cross-functional collaboration to integrate models into decisioning systems.

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.

This role focuses on developing and optimizing fraud decisioning strategies within a fintech company. It involves extensive data analytics, collaborating with cross-functional teams (Product, Engineering, Operations, Finance), and developing new fraud features. A key responsibility is creating scalable frameworks for proprietary fraud machine learning models and evaluating data sources to mitigate fraud risk. The role also involves partnering with the Machine Learning team on fraud and identity verification strategies and owning the end-to-end analytics workflow, including defining metrics and creating dashboards.