Staff Software Engineer

Uber · Toronto, Ontario, Canada
LinkedIn

Posted

Jun 27, 2026 (Jun 27)

Seniority

Not Specified

Work Model

Not Specified

Type

Not Specified

Category

Full-Stack

Salary

Not specified

Skills

Artificial Intelligence C++ Deep Learning Go Java Machine Learning

Description

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. ~~ ~~