Uber's Delivery Marketplace needs to optimize decision-making for every order to ensure efficient and timely deliveries across various verticals, impacting both user experience and business economics.
Requirements
- PhD in relevant fields (Operations Research, Computer Science, Mathematics, Industrial Engineering, etc.) with a focus on optimization modeling
- 3+ years of industry experience developing algorithms and models for large-scale deployment
- Experience with optimization packages such as Gurobi, CPLEX, and OR Tools
- Proficiency in one or more coding languages such as Python, Java, Go, or C++
- Experience with two or three-sided marketplace design, matching/allocation, pricing optimization, etc
- Familiarity with Machine Learning models, experimentation (e.g., A/B testing) and causal inference
- Experience with real-time optimization systems (optimization under tight time constraints)
Responsibilities
- Develop the objective function which balances magical user experience and economics of the business
- Improve timeliness for Uber delivery trips
- Eater and courier segmentations based delivery matching decisions
- Build new scalable algorithms for real-time delivery matching products across hundreds of global marketplaces
- Take things from mathematical formulation through to prototype and experiment
- Work with backend engineers to put your ideas into production
- Help identify new opportunities for improving our algorithms and models
Other
- Strong communication skills and ability to work effectively with cross-functional partners
