IC Principal Software Engineer: Optimization
About the Role:
You'll be working on the core algorithms across earner and consumer matching, surge pricing and logistics (route planning) for both delivery and mobility business. Some example of the scope of this role:

• Joint optimization across Matching and Pricing. Experiment and propose solutions to balance between reliability and trip throughput.
• Joint optimization of the matching paradigm for Shared Rides and Eats delivery. Build efficient and highly performant business infrastructure to support the growing business case.

About the Team:
The marketplace team connects consumers looking for transportation or ordering food with couriers looking for work at the tap of a button.https://marketplace.uber.com/
There are two areas in Marketplace:
The Dynamics (Matching, Surge and Logistics) team optimize earners and consumers matching algorithms and experiences through supply efficiency, build realtime dynamic pricing mechanism at the session level to balance market reliability and welfare, identify and explore new growth areas for Uber through batching efficiency, route planning and intelligent predictions in mobility and delivery space.
The Pricing and Incentives is responsible for tech (platforms, algorithms, data, product engineering) that drives all financial decisions for Rides and Eats including capital allocations flows, promotions, and real time dynamic pricing for two sides and three sided Uber Marketplaces.
Minimum qualifications:

• PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 5-years full-time Software Engineering work experience OR 8-years full-time Software Engineering work experience, WHICH INCLUDES 5-years total technical software engineering experience in one or more of the following areas:
  • Programming language (e.g. C, C++, Java, Python, or Go)
• Note the 5-years total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The years of specialized experience are not necessarily in addition to the years of Education & full-time work experience indicated.

Technical skills:
Required:

• Software implementations for computational algorithms in production

Preferred:

• Knowledge of convex and linear programming
• Network optimization
• Computational algorithms for large scale optimization problems
• experience with machine learning models