Software Engineer, Machine Learning Infrastructure

DoorDash is seeking a Software Engineer specializing in Machine Learning Infrastructure to join their team in building the world's most reliable on-demand logistics engine for delivery. This role is crucial in developing and maintaining a 24x7, no-downtime global infrastructure system that powers DoorDash's three-sided marketplace. The position offers the opportunity to work with extensive delivery data to improve company-wide ML workflows including Search & Recommendations, Dasher Assignment, ETA Prediction, and Capacity Planning.

The role involves building and maintaining sophisticated ML platforms where models are seamlessly developed, trained, and deployed. You'll be working directly with Data Scientists and Product Engineers to create high-performance pipelines capable of handling trillions of feature values and powering hundreds of billions of predictions daily. The infrastructure you'll build will be central to DoorDash's business operations, requiring expertise in both machine learning and distributed systems.

This is an excellent opportunity for experienced engineers who want to work at the intersection of machine learning and infrastructure at scale. The position offers competitive compensation, comprehensive benefits, and the chance to work with cutting-edge technologies. The role is hybrid-based, with options to work from San Francisco, Sunnyvale, or Seattle offices.

DoorDash offers a comprehensive benefits package including medical, dental, and vision insurance, 401(k) with employer matching, generous parental leave, and wellness benefits. The company culture emphasizes diversity, inclusion, and empowering local economies through technological innovation.