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About the Team: Uber spends a significant amount on Ad and Marketing efforts which can be optimised significantly to directly impact the bottom line. AdTech platform team builds the software systems that make this happen. Basically, the systems made tell you where to spend in sales and marketing. And the scale is huge - working with datasets that are world population scale (billions of rows). You will be working on data from millions of rides, restaurant partners, driver and delivery partners. About the Role: Build and work with real-time services along with batch pipelines that track and attribute ad spend to actions that Uber users take (e.g. take rides, eats orders, etc.). Work on that will use advanced machine learning techniques to optimize spend within different channels Build that detect ad fraud and help us eliminate ad networks that are only here to rob us of our money. Build that get us free traffic (SEO and content) instead of having us pay other ad networks for it. Build that will help us target the right kind of potential users. What the Candidate Will Do: Build and work with real-time services along with batch pipelines that track and attribute ad spend to actions that Uber users take (e.g. take rides, eats orders, etc.). Work on that will use advanced machine learning techniques to optimize spend within different channels Build that detect ad fraud and help us eliminate ad networks that are only here to rob us of our money. Build that get us free traffic (SEO and content) instead of having us pay other ad networks for it. Build that will help us target the right kind of potential users. Basic Qualifications: Architecture skills. Knowledge of data structures and an eye for architecture. Can discuss the tradeoff between architectural choices, both on a theoretical level and on an applied level. Excellent coding/debugging abilities. Have advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Python, Scala and Java. Big data experience. Experience with Distributed system such as Hadoop, Hive, Spark, Kafka, Vertica is helpful. To be a fast learner. We're looking for software engineers who grow with learning new technologies and don't believe in one-size-fits-all solutions. Should be able to adapt easily to meet the needs of our extensive growth and constantly evolving business environment. A great teammate attitude. Believe that you can achieve more on a team - that the whole is greater than the sum of its parts. You rely on others' candid feedback for continuous improvement! Design and eye for business. Understand requirements, whether working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience. Preferred Qualifications: Machine learning, prior Adtech experience.
Vacancy expired!