About the role
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.
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Not the right fit? Search for Software Engineer jobs in Toronto, Ontario, Canada
About Uber
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.
The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.
Similar Jobs
About the role
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.
~~ ~~
Not the right fit? Search for Software Engineer jobs in Toronto, Ontario, Canada
About Uber
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.
The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.