About The Role

Delivery Logistics is the brain of the company, planning all of the actions that must come together to enable a magical experience for customers of Eats, as well as new verticals such as grocery, retail, Uber Direct, and Uber Connect. Our team optimizes the problem of finding the best courier at the right time for each order, a combinatorial problem with hundreds of thousands of possibilities considered every few seconds. We also train deep neural networks to predict ETAs and food preparation times and decide which orders are most efficient to batch together.

On this team, you'll work cross-functionally with machine learning engineers, data scientists, and product managers to find ways to improve efficiency and provide a better experience for our users. You'll participate in the full development cycle from ideation to architecture design, to implementation, to productionization. Your efforts will directly affect the company's top and bottom lines.

---- What You Will Do ----

Build scalable software systems that handle some of the highest traffic of any system at the company Work cross-functionally with machine learning engineers, data scientists and product managers to find ways to improve efficiency and provide a better experience for our users Participate in the full development cycle from ideation to architecture design, to implementation, to productionization

Basic Qualifications

BS or MS in Computer Science or a related technical field, or equivalent experience 7+ years of experience in software engineering Experience with one of the following programming languages: Java, Go, C/C++

Preferred Qualifications

MS or PhD in Computer Science or a related technical field, or equivalent experience Experience with productionizing machine learning or deep learning models

For Canada-based roles: Uber may use artificial intelligence (AI) tools to support parts of our recruiting process; however, Uber employees make the ultimate selection and hiring decisions. This advertisement relates to a current, existing vacancy.

~~ ~~