Senior Optimization Engineer, Delivery Pricing
Uber
Job Description
About the Role
The Consumer Real-Time Pricing team within the Delivery Marketplace organization is responsible for balancing supply and demand in the Eats/Delivery Marketplace. Our team builds signals, algorithms, recommendations and levers that work in real-time to keep the marketplace in balance. Our work has a direct impact on Uber's top & bottom line. Optimization/Operations Research Engineers lead efforts within the team and broader Delivery Marketplace organization to drive ideation, development and productionization of optimization solutions with real-time and ML-based signals that solve strategically important problems. Some existing problem spaces that the team works on include developing objective functions to balance user experience and economics, improving timeliness for Uber delivery trips, maximizing throughput, and setting optimal prices to achieve marketplace balance. It is a challenging yet rewarding job with opportunities to collaborate with product managers, Applied Scientists, ML and Backend engineers, solving Uber-scale problems with appropriate techniques and algorithms.
Key Responsibilities
- Work with a mixed team of Backend Engineers, MLEs, and Applied Scientists.
- Build new scalable algorithms for real-time delivery pricing products across hundreds of global marketplaces.
- Take ideas from mathematical formulation through to prototype and experiment.
- Collaborate with backend engineers to put ideas into production.
- Identify new opportunities for improving algorithms and models.
Requirements
- Masters in Operations Research, Computer Science, Mathematics, Industrial Engineering, or related fields with a focus on optimization modeling.
- 5+ years of industry experience developing algorithms and models for large-scale deployment.
- Experience with optimization packages such as Gurobi, CPLEX, and OR Tools.
- Strong communication skills and ability to work effectively with cross-functional partners.
- Proficiency in one or more coding languages such as Python, Java, Go, or C.
Nice to Have
- PhD in relevant fields with a focus on optimization modeling.
- Experience with two or three-sided marketplace design, matching/allocation, pricing optimization.
- Familiarity with Machine Learning models, experimentation (e.g., A/B testing), and causal inference.
- Experience with real-time optimization systems under tight time constraints.
Qualifications
- Educational background in relevant fields such as Operations Research, Computer Science, Mathematics, or Industrial Engineering.
Benefits & Perks
- Participation in Uber's bonus program.
- Potential for equity awards and other compensation.
- Eligibility for various benefits as detailed at https://www.uber.com/careers/benefits.
Working at Uber
Uber's mission is to reimagine the way the world moves for the better. The company values bold ideas that create real-world impact, challenges that drive growth, and speed that fuels progress. Uber emphasizes collaboration, innovation, and a commitment to diversity and inclusion, with offices continuing to be central to its cultural identity.
Job Details
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About Uber
Website
uber.com
Location
San Francisco, CA
Industry
All Other Transit and Ground Passenger Transportation
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