About the Team

DoorDash is a machine learning driven organization and relies on machine learning to improve customer experience, power many business and product decisions, and to reduce cost. The Machine Learning Platform owns all the infrastructure necessary to enable DoorDash engineers to quickly and efficiently apply machine learning.  The platform covers the entire ML development lifecycle, which includes featuring engineering, feature store, model store, model training, model inference and ML observability, and more

About the Role

We are seeking an experienced and highly motivated Engineering Manager to lead our Feature Platform team within the Machine Learning Platform (MLP) organization. In this critical role, you will manage the redesign and operations of our Feature Store and broader Feature Platform, which serves as the backbone for machine learning across the company. This platform powers model training and inference at scale, ensuring data consistency, low-latency access, and high availability for real-time and batch features.

As the Engineering Manager for the Feature Platform, you will lead a high-performing team of engineers, driving both the technical vision and execution. You will work closely with ML managers, product teams, and other platform teams to understand business needs, align priorities, and deliver a robust platform that accelerates ML development and improves model performance. This is a high-visibility, high-impact role at the center of the company's ML strategy.

You’re excited about this opportunity because you will…

• Be at the center of the company’s ML strategy with visibility and influence across multiple business and product areas.
• Lead a central, high-impact team that powers machine learning across ...