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The role will be within the pricing and incentives domain in Uber's marketplace team. The team charter spans incentive allocation and optimization to balance the market and optimize revenue, dynamic trip pricing based on marketplace conditions.
The role will provide an opportunity to work on some of the most strategic marketplace problems at Uber scale that impact Uber's global business very directly. To enable these initiatives, we invest heavily in our architecture so that we can support demanding products efficiently and scalably.
What You Will Do
The role is focused on backend work in collaboration with machine learning engineers, applied scientists, product managers, across teams and orgs. You'll work on some of Uber's most strategic marketplace challenges at a global scale.This is an exciting opportunity to shape the future of Uber's rider pricing and make a direct impact on the business.
You will be responsible for leading interdisciplinary projects, designing for global scalability, creating new patterns and coding standards, and mentoring 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
- Proven ability to work in and contribute to cross-functional teams
- 5+ years of experience including advanced degrees
- Demonstrated ability to design, maintain, and support business critical systems
- Excellent problem-solving, critical thinking, and communication skills.
- Experience deploying ML technologies into products.
- Deep knowledge of Spark and its optimization techniques.
Key Skills
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