Principal Engineer - Delivery Marketplace Optimization

About the Role

Principal engineers at Uber have a deep impact across a wide variety of business and technology decisions spanning multiple programs, projects and locations. They are passionate and pragmatic technologists who are able to design and architect highly-available, secure scalable and resilient systems while delivering efficient code. They are not only collaborative role models, but also approachable leaders with a point of view within a larger group. They are humble teachers, technically mentoring a team of passionate engineers while also delivering uniquely challenging projects. A Principal-level Engineering role at Uber is special, representing the top 2% of Engineers at Uber.

The Delivery Marketplace team is looking for an exceptional Principal Engineer to help lead the design that will help us shift from an open marketplace to a highly optimized and managed marketplace model.

• Define the Vision: Architect and drive the long-term technical strategy and roadmap for managing the delivery marketplace
• Evaluate and Execute on New Solutions: Lead the design and implementation of novel systems that leverage reinforcement learning, predictive modeling, and optimization algorithms to build a highly efficient managed marketplace
• Drive Business Impact: Go beyond ideation - ensure that the solutions you deliver produce measurable, step-change improvements in key metrics such as courier utilization, gross bookings, and cost efficiency
• Lead Strategic Initiatives: Spearhead complex, cross-functional efforts that require deep technical influence, alignment across multiple engineering organizations, and strong partnership with product, science, and operations leadership
• Innovate at Scale: Tackle sophisticated technical challenges inherent in large-scale distributed systems, ensuring reliability, scalability, and performance across our global delivery network

• BS degree in Computer Science or relatedtechnical field, or equivalent experience
• A minimum of 10 years of relevant software engineering experience, with a proven record of technical leadership and innovation
• Demonstrated experience defining and driving large-scale, cross-organizational technical initiatives from concept to completion
• Hands-on experience applying AI/ML techniques to solve complex engineering or marketplace optimization problems
• Experience influencing and aligning senior leadership (Director, VP level) on technical strategy and roadmaps

• Masters/PhD
• Background in optimization, machine learning, or reinforcement learning
• Experience building large-scale marketplace, ads, or recommendation systems
• Experience leading teams and openness to pursuing the management track in the future