Senior Optimization Engineer, Delivery Pricing

Uber • New York, NY

119d • $198,000 - $220,000 • Remote

About The Position

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 the objective function which balances magical user experience and economics of the business, improving timeliness for Uber delivery trips, maximizing throughput of trips the marketplace can handle, and setting optimal prices to achieve marketplace balance. It is a challenging yet rewarding job. You will have a lot of opportunities to work with product managers, Applied Scientists and ML and BE engineers. You will be in charge of solving Uber-scale problems with the right techniques and algorithms.

Requirements

• Masters in relevant fields (Operations Research, Computer Science, Mathematics, Industrial Engineering, etc.) 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 Haves

• PhD in relevant fields (Operations Research, Computer Science, Mathematics, Industrial Engineering, etc.) with a focus on optimization modeling
• 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

• 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 things from mathematical formulation through to prototype and experiment
• Work with backend engineers to put ideas into production
• Help identify new opportunities for improving algorithms and models

Benefits

• Eligible to participate in Uber's bonus program
• May be offered an equity award & other types of compensation
• Eligible for various benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Transit and Ground Passenger Transportation
• Education Level: Master's degree