Machine Learning Engineer, Dasher Supply

About the Team

Come help us build the world's most reliable on-demand logistics engine for delivery! We are bringing on a talented Machine Learning Engineer to help us build the Dasher Acquisition, Mobilization, and Pay systems that power DoorDash's three-sided marketplace of Consumers, Merchants, and Dashers. The Dasher Supply team works to ensure that Doordash is a profitable and reliable way for Dashers to earn money and that the right number of dashers are active at every moment for successful delivery experiences for Consumers and Merchants.

About the Role

As a Machine Learning Engineer, you will work with our robust data and machine learning infrastructure to deploy MLmodels and optimization programs. Tackling Doordash's most challenging business problems, our models power spend allocation across Dasher Acquisition (paid media marketing), Dasher Mobilization (proactive and reactive incentives) and Dasher Pay (base and bonus pay) . You will work with other data scientists, engineers, and product managers to develop and iterate on models to help us grow our business and provide better service quality for our customers.

You're excited about this opportunity because you will…

• Use Causal ML and Optimization techniques to automate spend allocation across Dasher supply levers to ensure our roads are well supplied for a fantastic Dasher and Consumer experience.

• Build ML models to better forecast Dasher actions in high dimensional contexts, which will serve as core inputs to our offline and online supply management systems.

• Have end-to-end ownership of model ideation, development, testing, deployment, and maintenance.

• Get a chance to platformize existing supply levers across new business verticals and geographies.

• Be able to measure your business impact through rapid experimentation, making complex tradeoffs to balance different sides of the marketplace.

• Work on complex systems, like those described in