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The mission of the Surge team is to maintain overall marketplace reliability by balancing supply/demand in real-time through dynamic pricing. We build scalable real-time systems to understand the state of the market, forecast future demand, make predictions using ML models, solve network optimization programs, and eventually make pricing decisions for each rider session.
Job Responsibility:
Work with a mixed team of Engineers, Operations Researchers, and Economists to build large-scale pricing optimization systems to set prices based on real-time marketplace conditions for Uber’s rides products globally
Requirements:
Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field
5+ years of full-time Software Engineering work experience
Proficient in a language such as Java/Go/Python
Experience building scalable distributed systems
Expertise with in-memory datastores (e.g. Redis, Memcached)
Experience with event-driven and streaming architectures (e.g. Apache Kafka)
History of working with cross-functional partners (Product/Science) to help define roadmaps
Demonstrated ability to design, maintain, and support business critical systems
Designing for high availability (fallbacks, circuit breakers, hedging and retries)
On-call experience
Nice to have:
Experience with marketplace problems (such as Ads)
Expertise in Java software development (e.g. common design patterns, streams, futures, parallel computation, DI frameworks such as Spring)
Experience building real-time mathematical optimization systems (e.g. using OR Tools or Gurobi)
Experience mentoring and growing more junior engineers
Experience with experiment based feature development (A/Bs, etc...)
What we offer:
Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan