Senior Software Engineer - ML Infrastructure at Plaid

This role is for an engineer with at least five years of experience who has a deep background in ML platform development or distributed systems. You should be comfortable building production-grade feature stores and inference frameworks rather than just training models. **What makes it worth a look...** Plaid is currently overhauling its entire ML stack, so you will have the rare chance to replace legacy systems and define the company’s new ML Ops architecture from the ground up. The pay is high for a hybrid role, topping out at $270,000 plus the stability of a major fintech leader. **You might be a good fit if you...** * Have built and scaled automated data pipelines or feature stores in production environments. * Prefer working on the "plumbing" of AI, such as deployment tooling and observability. * Have experience with cloud-native ML tools like SageMaker or MLFlow. * Want to help set the technical standards for how dozens of product teams ship AI features.