The Shared Rides team mission is to provide a rideshare service at a substantially lower price point to a taxi or UberX via sharing the cost of the driver amongst multiple riders. We are developing a product which can achieve this lower cost while providing Riders with a predictable and defect-free experience and also generating sustainable earnings for Drivers and unlock the next frontier of growth for Uber This team delivers all aspects of shared rides, from the experiences shown to riders and drivers, the matching algorithms to make efficient sharing, and pricing to predict where we will be able to generate the greatest cost savings and convert the most riders. We work to identify the right trade offs between timeliness and costs, and build experiences to surface these trade offs. Walking, waiting, scheduling and routing all provide opportunities for us to drive efficiencies to continuously push prices lower for our customers. We push this to extremes with our shuttle products allowing for highly efficient trips This is a great opportunity to build out new tech for this growing business. The team addresses large-scale variations of the traveling salesperson problem in real-time. At any given time, we have tens of thousands of sharing requests and drivers looking for work in a city. Our jobs are to write software that identifies who is the best driver to complete a given request, how to batch trips together that have similar routes, and when is the best time to make the dispatch. As you could imagine, solving this NP hard problem creates many fascinating problems around how to search the problem space, how to rapidly reach a near-optimal solution, and how to scale this process to operate within seconds. **What You'll Do:** - Deliver and operate performant and reliable distributed systems consumed by multiple teams and clients - Solve NP-hard matching and routing problems and build rider and driver pricing models - Interact cross functionally with engineering, product and operations teams and stakeholders - Mentor junior members of the team in engineering craftsmanship and professional development **Basic Qualifications:** - Strong technical delivery, with 5+ years of experience experience building highly scalable software - Excellent written and verbal communication skills, experience writing detailed technical documents. - Experience with Java, Go or C++. - Passionate about helping teams grow by inspiring and mentoring engineers. **Preferred Qualifications:** - Have a BS or advanced degree in Computer Science or a related field Experience working cross-functionally with Product Management, Data Science, and Business partners - Experience working on highly complex problems. Strong analytical and problem - Experience building software engineering solutions for prediction and optimization problems - Experience designing reinforcement learning or other advanced ML algorithms. - Passionate about consumer experiences, with a track record of building successful consumer features - Ownership, taking a personal stake in the success of the product and the team For Seattle, WA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year. 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](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](https://forms.gle/aDWTk9k6xtMU25Y5A). 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.