About the Role
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.
Surge plays a critical role in service of Uber’s mission to make transport accessible. We generate billions of dollars in annual gross bookings for the company by optimizing network efficiency and make a significant contribution to driver earnings. In addition to pricing, the signals we generate are some of the most important features used in practically every optimization/ML system across Uber. Although we are a backend team, what we do has an outsized impact on our riders because prices and reliability are two of the most important elements of customer experience.
---- What the You Will Do ----
You will 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.
You will be responsible for leading interdisciplinary projects, designing for global scalability, create new patterns and coding standards, and mentor more junior engineers.
---- Basic Qualifications ----
Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field
4+ years of full-time Software Engineering work experience
Proficient in a language such as Java/Go/Python
Experience building scalable distributed systems
Familiarity with in-memory datastores (e.g. Redis, Memcached)
---- Preferred Qualifications ----
5+ years of experience including advanced degrees
Expertise in Java software development (e.g. common design patterns, streams, futures, parallel computation, DI frameworks such as Spring)
Prior experience with NoSQL datastores (e.g. Cassandra)
Experience with event-driven and streaming architectures (e.g. Apache Kafka)
Demonstrated ability to design, maintain, and support business critical systems
Designing for high availability (fallbacks, circuit breakers, hedging and retries)
On-call experience
San Francisco, CA
Uber Technologies, Inc. develops and supports proprietary technology applications that enable independent providers of ridesharing, and meal preparation and delivery services to transact with end-users worldwide. The company operates in two segments, Core Platform and Other Bets. Its driver partners provide ridesharing services through a range of vehicles, such as cars, auto rickshaws, motorbikes, minibuses, or taxis, as well as based on the number of riders under the UberBLACK, UberX, UberPOOL, Express POOL, and Uber Bus names; and restaurant and delivery partners provide meal preparation and delivery services under the Uber Eats name.
The company also offers Uber Central, a tool that enables companies to request, manage, and pay for rides for their employees, customers, or partners; and Uber Health, which allows healthcare professionals to arrange rides for patients going to and from the care destinations. In addition, it provides freight transportation services to shippers in the freight industry under the Uber Freight name; leases vehicles to third-parties that use the vehicles to provide ridesharing or eats services through the platforms; and provides access to rides through personal mobility products, including dockless e-bikes and e-scooters under the JUMP name. The company was formerly known as Ubercab, Inc. and changed its name to Uber Technologies, Inc. in February 2011. Uber Technologies, Inc. was founded in 2009 and is headquartered in San Francisco, California.