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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.
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 Candidate Will Do
Lead teams that help build statistical, optimization, and machine learning models for a range of applications in the pricing algorithms space.
Help define roadmaps and opportunities for new applications of ML systems to pricing.
Present findings to senior leadership to inform business decisions.
Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.
Basic Qualifications
Expertise in deep learning and optimization algorithms.
Experience with ML frameworks such as PyTorch and TensorFlow.
Experience building and productionizing innovative end-to-end Machine Learning systems.
Proficiency in one or more coding languages such as Python, Java, Go, or C++.
Strong communication skills and can work effectively with cross-functional partners.
Preferred Qualifications
PhD in relevant fields (CS, EE, Math, Stats, etc.) with a focus on Machine Learning
Experience managing small teams of engineers.
Experience with Causal Inference.
5 years of software engineering experience
Experience with forecasting models.
Experience working with pricing systems or marketplace work (such as ads).
Experience growing a team and mentoring more junior engineers.
For San Francisco, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Internet Marketplace Platforms
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