DoorDash's Experimentation Platform team is at the forefront of data-driven decision making, developing an industry-leading platform for experiments and causal analysis. The team builds tools that enable thousands of experiments monthly, democratizing experimentation across the organization. As a Staff ML Engineer, you'll work with a diverse team of backend, web, statistical, and data infrastructure engineers to advance the platform's capabilities. The role combines deep technical expertise in ML, statistics, and distributed systems with practical business impact. You'll build sophisticated experimentation algorithms, implement cutting-edge ML solutions, and help shape how DoorDash makes data-driven decisions. The position offers competitive compensation ($196,100-$288,400), comprehensive benefits, and the opportunity to work on challenging problems in a rapidly growing technology company. The team has published several technical articles showcasing their innovative work in experimentation and causal inference, making it an excellent opportunity for those interested in pushing the boundaries of ML and experimentation at scale.