Uber's Marketplace Signals team needs to build and optimize foundational marketplace signals that power user experiences and drive marketplace efficiency. This involves ensuring key signals like eyeball ETA, spinner time, and supply reliability indicators are leveraged effectively across various Uber products and levers to enable data-driven decision-making and seamless coordination across different business functions.
Requirements
- 6+ years of experience in machine learning, applied data science, or AI-driven optimization in large-scale systems.
- Strong ML expertise, including experience with time-series forecasting, predictive modeling, and real-time inference.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with big data frameworks (Spark, Flink, Ray) and real-time data processing.
- Deep understanding of Uber's marketplace dynamics or experience in a two-sided marketplace, pricing, or matching algorithms is a plus.
Responsibilities
- Develop and optimize ML models to enhance key marketplace signals (e.g., ETA predictions, supply availability metrics, demand forecasts).
- Improve operational efficiency by building a centralized, scalable system for marketplace signals that serves multiple use cases.
- Ensure consistency and reliability across Uber's platform by maintaining high-quality marketplace signals that inform rider and driver experiences.
- Reduce technical debt by streamlining signal infrastructure and minimizing redundant computations.
- Leverage cutting-edge ML techniques (deep learning, probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals.
- Work with real-time streaming data and large-scale distributed systems to ensure Uber's signals are up-to-date and responsive to market dynamics.
- Design, develop, and scale advanced ML models to enhance these signals, ensuring they are accurate, reliable, and optimized for Uber's dynamic marketplace.
Other
- Collaborate with cross-functional teams (Pricing, Matching, Driver Incentives, etc.) to ensure marketplace signals are effectively utilized.
- Strong communication and collaboration skills to work effectively with product managers, engineers, and researchers.
- Work on high-impact machine learning problems that directly improve Uber's marketplace efficiency.
- Influence key business levers that optimize Uber's pricing, matching, and rider/driver experience.
- Build centralized marketplace signals that reduce redundancy and improve operational efficiency.
