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An on-demand delivery service.

Software Engineer, Machine Learning
San Francisco, CA, US
Job Description / Skills Required

Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on talented engineers to help us create and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers.

At DoorDash, our machine learning engineers have the opportunity to dive into a wealth of delivery data and solve physical world challenges through machine learning. They're helping build the next iteration of our recommendation engine - read about it here!

What You’ll Achieve

Predict preparation ambiguity for over 50,000 merchant partners

Compute real time vehicle routing challenges in major metropolitan areas, ultimately to assign dashers who arrive at desired locations with little to no lag/latency

Forecast the supply of available dashers as well as incoming delivery demand

Iterate and improve our query understanding, search relevance, recommendation and ranking algorithms to deliver a personalized experience

Optimize pricing structure and algorithm to fuel the growth of business

Collaborate with other engineers, data scientists, and teammates across the product and business organizations

About You

B.S., M.S., or PhD. in Computer Science or equivalent

Exceptionally strong knowledge of CS fundamental concepts and OOP languages

4+ years of industry experience

Prior experience building machine learning systems in production

About Us

Founded in 2013, DoorDash is a San Francisco-based technology company passionate about transforming local businesses and dedicated to enabling new ways of working, earning, and living. Today, DoorDash connects customers with their favorite local and national restaurants in more than 600 cities across the United States and Canada. By building intelligent, last-mile delivery technology for local cities, DoorDash aims to connect people with the things they care about — one dash at a time.