Sr Machine Learning Engineer

Uber is hiring a Senior Machine Learning Engineer for its Deliverability team. The role leads the design, development, and productionization of machine learning systems that optimize merchant delivery coverage and marketplace decisions, while improving business metrics through experimentation and cross-functional technical leadership.

Responsibilities:

• Product & Domain ML Architecture:Architect and translate complex marketplace challenges into high-throughput, large scale ML solutions for delivery zone optimization
• Design & Train Core Models:Develop, evaluate, and continuously refine state-of-the-art machine learning models that dynamically optimize merchant delivery coverage, balancing conversion, order volume, and fulfillment efficiency
• Production Pipelines & ML Infrastructure:Engineer, deploy, and operate scalable ML inference pipelines, feature stores, model serving infrastructure, and automated retraining workflows handling high-throughput global delivery evaluations
• Marketplace Optimization & Experimentation:Lead data-driven investigations to diagnose marketplace inefficiencies, execute online A/B testing and leverage telemetry to drive core business metrics
• Cross-Functional Technical Leadership:Partner closely with Product Management, Data Science, Operations, and Core Infrastructure teams to align technical roadmaps and define cross-platform ML standards