Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on talented data scientists to help us develop and improve the models that power DoorDash's three-sided marketplace of consumers, merchants, and dashers. DoorDash users use the DoorDash app in two modes: 1) to search for specific dishes and products, restaurants, grocery or convenience stores when they have something in mind; 2) to discover new dishes and products for delivery when they do not have something specific in mind. Both use cases are very important to our users. As a recommendation and search-focused Machine Learning Scientist you will have the opportunity to identify and prioritize machine learning investments to address both of these use cases.

Faire is an online wholesale marketplace built on the belief that the future is local -- there are over 2 million independent retailers in North America and Europe doing more than $2 trillion in revenue. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town -- we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally.