Senior Machine Learning Engineer focused on building and deploying ML models into Plaid's financial products, working across the full ML lifecycle from experimentation to production scaling and monitoring. The role involves analyzing financial datasets, developing proof-of-concept solutions, and collaborating with product and engineering teams to integrate models and ensure their long-term performance and reliability.

Senior Fraud Researcher at Plaid, focusing on using financial network data, transaction patterns, and device signals to detect and prevent fraud. The role involves leading investigations, translating findings into detection improvements, and collaborating with Data Science, ML/AI, and Product teams to shape fraud capabilities. It emphasizes applied research, signal utilization, and ecosystem monitoring to stay ahead of adversaries, directly driving features, model inputs, and product design.