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    Uber Corporate
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About the Role

The Eats Discovery group is responsible for the serving, ranking, and end to end experience of the Discovery-Feed and Search functionalities in Uber Eats. The group's mission is to build a reliable, personalized, and leverage-able platform to enable effortless food discovery for consumers everywhere. As the world moves towards high adoption of delivery services, we believe that effortless discovery will be one of the biggest product differentiators in the years to come.

The group owns 3 tier-1 (business critical) services, 30 machine learning models in production and over 300 data pipelines which ETL and monitor the data used for these models.

Within Eats Discovery, the Eater Search team is helps eaters find their favorite stores and items quickly, efficiently, and delightfully. We focus on search retrieval, ranking, personalized recommendations, multi-objective optimization, and targeted user optimization.

Depending upon their previous expertise and interest, they will be expected to be heavily involved in
  • Building scalable retrieval and ranking systems
  • Helping setup the right tech / tools / processes to speed up experimentation velocity
  • Working closely with ML-Infrastructure teams (like Search Infra and Michelangelo)
  • Building the state-of-the-art Search&Discovery platform for UberEats

Basic Qualifications:
  • 4+ years of professional software development experience
  • 3+ years of programming experience with at least one modern language such as Java, C, or C# including object-oriented design
  • 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
  • Bachelor's degree in Computer Science or 8+ years of equivalent professional or military experience

Preferred Qualifications:
  • A strong focus on execution, delivery, and customer impact.
  • Experience taking a leading role in building complex software systems that have been successfully delivered to customers
  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
  • Experience with distributed computing and enterprise-wide systems
  • Experience influencing software engineers best practices within your team
  • Experience working with ML models, technologies, and large scale retrieval and ranking systems.

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