About The Role
The Surge team at Uber is dedicated to maintaining marketplace reliability by dynamically balancing supply and demand through real-time pricing. This role involves building scalable real-time systems to understand market conditions, forecast future demand, utilize machine learning models for predictions, solve network optimization challenges, and make informed pricing decisions for each rider session.
Surge is pivotal in supporting Uber's mission to make transportation accessible and affordable. It generates significant revenue and enhances driver earnings by optimizing network efficiency. The team's outputs are crucial for nearly every optimization and machine learning system across Uber, impacting customer experience through improved pricing and reliability.
What The Candidate Will Do
- Build and maintain scalable real-time systems for dynamic pricing.
- Develop tools for offline evaluation and simulation to aid in decision-making and policy formulation.
- Support feature development, experimentation, iteration, and scaling to global launches.
- Establish standards for monitoring and observability.
Basic Qualifications
- Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics, or a related field.
- Proficiency in programming languages such as Java, Go, or Python.
- Experience in building scalable distributed systems.
Preferred Qualifications
- At least 2 years of full-time software engineering experience.
- Experience in developing APIs using REST, gRPC, etc.
- Familiarity with unit and integration testing.
- Experience with in-memory datastores like Redis or Memcached.
- On-call experience is advantageous.
Additional Information
For roles based in San Francisco, the salary range is $158,000 to $175,500 per year. Candidates will be eligible for Uber's bonus program and may receive equity awards and other compensation. Further details on benefits can be found on Uber's career site.
Benefits Extracted with AI
- Equity award
- Bonus program
- Various benefits
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