About the Role:

We are seeking a highly skilled and motivated Staff Engineer to join our Shared Rides team at Uber.  The team’s mission is to provide best of class ride share experience at a substantially lower price point to a taxi or UberX via sharing the cost of the driver amongst multiple riders.

You will play a crucial role in developing a product which can achieve this lower cost while providing Riders with a predictable and defect-free experience which also generates sustainable earnings for Drivers and Uber.

This role will focus on developing and optimizing the algorithms and systems that:

• match supply (drivers) and demand (riders) in real-time
• predict future demand from historic data or encourage future demand via scheduling
• utilize future demand to provide optimizations over real-time matching
• set a price-point which is affordable for riders and provides sustainable earnings to drivers and Uber
• integrate with Uber’s rider and driver mobile experiences to communicate the value proposition from Sharing, as well as realistically set expectations for and economy product.

About the Team:

The team is broadly part of the Marketplace (PIMS) org, a central pillar to Uber’s core technology which includes pricing, incentives/investments, matching, surge, etc. for both mobility and delivery. As the key brain of the company, we are the decision makers that make moving from point A to point B possible for every trip or order that Uber serves, from UberX to Eats to new verticals such as grocery.

Within the org, we’re part of Matching and Driver Pricing teams – which are critical to the company’s success as it manages the complex dynamics of supply and demand, optimizes matching algorithms, and continuously innovates to enhance the overall user experience for both riders and drivers. Improvements in these systems increase revenue in the hundreds of millions of dollars, and decrease wasted time of drivers and users.

What the You Will Do:

• Design, develop, and deploy systems/platform/algorithms to solve complex business problems and improve product performance
• Collaborate with applied/data scientists, software engineers, and product managers to understand requirements, define project goals, and deliver high-quality solutions
• Deliver and review technical design, code and documentation
• Drive ongoing efficiency and reliability improvements through design and automation: availability, performance, scaling, monitoring and capacity.
• Tackle sophisticated technical challenges involving multiple technology stacks
• Mentor and support your fellow team members
• Collaborate with cross-functional teams to drive best practices in data management, data quality, and service deployment
• Stay informed about industry trends, emerging technologies, and advancements in software engineering

Basic Qualifications:

• A Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
• 7+ years of experience in professional software development experience, developing and deploying systems in production environments
• Deep knowledge in Go or Java
• Expertise in backend development, distributed systems, designing highly scalable systems

Preferred Qualifications:

• Experience with ML models (productionizing, scoping, analysis)
• Experience with Data engineering

For New York, NY-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year.

For all US locations, you will be eligible to participate in Uber’s bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.