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Senior Optimization Engineer - Delivery Pricing

Uber

$198,000 - $220,000
Aug 27, 2025
San Francisco, CA, USA • New York, NY, USA • Sunnyvale, CA, USA
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Uber's Consumer Real-Time Pricing team is looking to balance supply and demand in the Eats/Delivery Marketplace by building signals, algorithms, recommendations, and levers that work in real-time to keep the marketplace in balance, which has a direct impact on Uber's top and bottom line.

Requirements

  • 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+
  • 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)
  • Experience with two or three-sided marketplace design, matching/allocation, pricing optimization, etc
  • Masters in relevant fields (Operations Research, Computer Science, Mathematics, Industrial Engineering, etc.) with a focus on optimization modeling
  • PhD in relevant fields (Operations Research, Computer Science, Mathematics, Industrial Engineering, etc.) with a focus on optimization modeling

Responsibilities

  • Develop the objective function which balances magical user experience and economics of the business
  • Improve timeliness for Uber delivery trips
  • Maximize throughput of trips the marketplace can handle
  • Set optimal prices to achieve marketplace balance
  • 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
  • Help identify new opportunities for improving our algorithms and models

Other

  • 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
  • Strong communication skills and ability to work effectively with cross-functional partners
  • Ability to work at least half of the work time in the assigned office, unless formally approved to work fully remotely
  • Eligibility to participate in Uber's bonus program, and may be offered an equity award & other types of comp