About the Role
Delivery Matching 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.
What You Will Do
- Work cross-functionally with 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
- Build scalable software systems that handle some of the highest traffic of any system at the company
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Basic Qualifications
- BS or MS in Computer Science or a related technical field, or equivalent experience
- 5+ years of experience in software engineering
- Experience with one of the following programming languages: Java, Go, C/C++
Preferred Qualifications
- PhD in Computer Science or a related technical field, or equivalent experience
- Experience working on a team that focused on optimization or marketplace
- Demonstrated analytical ability to leverage data-driven insights to ideate and shape product direction within a collaborative product team
- Experience with distributed systems and microservices
- Worked closely with engineering and product teams to productionize ML or deep learning models that drive measurable outcomes
For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 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.
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.