Staff Software Engineer, ML Serving Platform

DoorDash is seeking a Staff Software Engineer to lead their ML Serving initiatives within their Machine Learning Platform (MLP). This role is crucial in powering critical real-time decision-making for millions of orders daily, supporting various business-critical functions including Ads, Groceries, Logistics, Fraud, and Search. The position offers an opportunity to guide a talented team in developing a next-generation ML serving platform handling millions of QPS across a global marketplace.

As the technical lead, you'll be responsible for ensuring models deliver real-time predictions reliably at scale, partnering with ML Engineers and Infrastructure teams to design and operate the serving stack. The role encompasses everything from containerized model deployments to advanced feature lookups and GPU-based serving. You'll drive the roadmap, architecture, and best practices for a platform that must maintain high availability while enabling rapid experimentation.

The position offers competitive compensation, comprehensive benefits, and the chance to work with cutting-edge ML technologies. You'll be joining a company committed to empowering local economies, with opportunities to impact critical services used by millions. DoorDash values diversity and inclusion, fostering an environment where innovation thrives through diverse perspectives.

This hybrid role offers flexibility with locations in major tech hubs, combining the benefits of remote work with in-person collaboration. The role provides an excellent opportunity for experienced engineers passionate about ML systems, distributed computing, and technical leadership to make a significant impact on a rapidly growing platform.