Machine Learning Platform Engineer

DoorDash is seeking a Machine Learning Platform Engineer 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 the infrastructure that powers DoorDash's three-sided marketplace of consumers, merchants, and dashers. The position offers an exciting opportunity to work with vast amounts of delivery data and improve company-wide ML workflows including Search & Recommendations, Dasher Assignment, ETA Prediction, and Capacity Planning.

The ideal candidate will be responsible for building a world-class ML platform where models are seamlessly developed, trained, and deployed. They will work closely with Data Scientists and Product Engineers to create high-performance, flexible pipelines that can handle trillions of feature values and power hundreds of billions of predictions daily. The role requires strong expertise in machine learning systems, cloud computing, and distributed systems.

DoorDash offers a comprehensive benefits package including competitive base salary, equity grants, 401(k) with employer match, complete healthcare coverage, and various wellness programs. The company is committed to diversity and inclusion, fostering an environment where team members can make impactful decisions and own their careers. As a rapidly growing company, DoorDash provides opportunities to work on cutting-edge technology while contributing to a platform that empowers local economies.

The position requires 4+ years of industry experience, strong CS fundamentals, and hands-on experience with machine learning systems in production. Knowledge of modern ML frameworks, distributed systems, and cloud environments is highly valued. This hybrid role offers the flexibility to work from either San Francisco Bay Area or Seattle offices.