Full time
Plaid
San Francisco, CA, USA
The Plaid Machine Learning Infrastructure (ML Infra) team is responsible for creating and maintaining the foundational systems, tools, and processes that enable efficient, scalable, reliable, responsible and secure machine learning workflows for Plaid ML practitioners. The core ML Infra components and responsibility covering core areas but not limited to these: 1. Feature Store Development: Developing a robust and efficient Feature Store platform customized for Plaid use cases to streamline feature engineering for both batch and real-time streaming features. 2. Model Serving and Deployment: Developing and maintaining infrastructure and tools for deploying models into production with observability and low latency. 3. Data Exploration and Experimentation: Using both vendor-based solutions, like Sagemaker Notebook and in-house/open-source solutions, like ML-Flow and Trino, to support early model experimentation, model version monitoring, and tracking 4. ML Data...