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.
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.
Responsibilities
- Work cross-functionally with machine learning engineers, data scientists, and product managers.
- Participate in the full development cycle from ideation to production.
- Optimize delivery matching algorithms and predict ETAs and food preparation times.
- Contribute to the architecture and design of new features and improvements.
Qualifications
- Proficiency in Amazon Web Services (AWS), Object-Oriented Programming (OOP), and .NET Framework.
- Strong background in software development and programming.
- Experience in working with large-scale software solutions.
Benefits
- Competitive salary and equity award.
- Participation in the company's bonus program.
- Access to various company benefits.
Benefits Extracted with AI
- Equity award
- Bonus program
- Various benefits
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