Job Description
This role focuses on pricing and incentives within Uber's marketplace team, addressing strategic marketplace challenges that directly impact Uber's global business. The position involves collaboration with product, data science, and engineering teams to develop machine learning solutions and optimize revenue.
Requirements
- PhD or equivalent in Computer Science, Engineering, Mathematics or related field
- 4+ years full-time Machine Learning Engineering work experience in leveraging machine learning/statistics/optimization to build models in production
- Collaborative and work well with, and contribute to, a team
Responsibilities
- Work with product, data science, and eng leadership to shape the technical roadmap and problem formulations for the team
- Leverage algorithmic knowledge in machine learning/optimization/statistics to design robust engineering solutions to positively impact Uber's business
- Shape the MLE role and uplevel MLE talents in the org
- Be responsible for the End to End of the product - ML model pipeline & system design, implementation, AB testing, and rollout
Benefits
- Employees at Uber are often offered comprehensive health, life, disability, and mental wellness benefits, along with wellbeing stipends, travel medical coverage, and monthly Uber credits for Rides and Eats. Employees also get generous paid parental leave, flexible time off, and family-planning support so they can care for themselves and their families at every stage.
