The Embedded Insights team supports Plaid’s mission to build a world-class suite of intelligence products. We identify the best opportunities to use machine learning in Plaid products, prove out those opportunities, and collaborate with cross-functional partners to turn them into real world production systems. As a Senior Machine Learning Engineer, you will work across the full machine learning lifecycle, from early-stage experimentation and rapid prototyping to deploying and scaling production-ready models that achieve product-market fit. You will analyze large and complex datasets to identify high-impact opportunities for machine learning applications, develop proof-of-concept solutions to validate ideas, and collaborate closely with product and engineering teams to integrate models into customer-facing products. You will also partner with stakeholders before and after product launches to gather feedback, optimize models for specific use cases, and design scalable technical solutions that support broader customer adoption. Additionally, you will focus on maintaining and improving model health by developing new features, determining effective retraining strategies, and building monitoring frameworks with metrics, alerts, and dashboards to ensure long-term model performance and reliability.
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Job Type
Full-time
Career Level
Senior