Uber's Marketplace Signals team needs to build and optimize foundational marketplace signals that power user experiences and drive marketplace efficiency. This role aims to enhance key signals like eyeball ETA, spinner time, and supply reliability indicators to improve pricing, matching, driver incentives, reliability metrics, and customer experience.
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).
- Collaborate with cross-functional teams (Pricing, Matching, Driver Incentives, etc.) to ensure marketplace signals are effectively utilized.
- 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.
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.
- If you're passionate about using ML to optimize real-world systems at a massive scale, we'd love to hear from you!
- For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.
- For Seattle, WA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.
- For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp.
- You will also be eligible for various benefits.
