Senior Machine Learning Engineer| Uber Direct

Senior Machine Learning Engineer| Uber Direct Department: Engineering Team: Machine Learning Location: Seattle, United States Type: Full-Time ## **About the Role** Uber Direct powers fast, reliable delivery for enterprise retailers and local businesses by leveraging Uber’s world-class logistics network. As a Senior Machine Learning Engineer on the Uber Direct team, you will define and build intelligent systems that improve operational efficiency, customer experience, and predictive capabilities in real-time logistics at global scale. You’ll partner closely with Product, Data Science, and Engineering teams to design, deploy, and continually enhance machine learning-driven solutions that power core decision-making across the delivery lifecycle. Your work will directly influence key marketplace and logistics metrics across millions of global deliveries. ## **What You’ll Do** - **Develop High-Impact ML Solutions:** Design, build, and productionize machine learning models that solve critical logistics problems such as ETA prediction, demand forecasting, dispatch optimization, anomaly detection, and delivery quality improvements. - **Own the End-to-End ML Lifecycle:** Lead projects from problem definition and data exploration through feature engineering, model development, evaluation, deployment, monitoring, and iteration. - **Build Scalable ML Systems:** Develop robust data pipelines, feature stores, training workflows, and model serving infrastructure that support both real-time and batch inference at scale. - **Drive Business Impact:** Define success metrics, run experiments, and rigorously evaluate model performance to ensure measurable improvements to KPIs such as Completion Rate, On-Time Rate, and Defect Rate. - **Collaborate Cross-Functionally:** Work closely with Product Managers, Data Scientists, Operations, and Backend Engineers to translate business problems into scalable ML solutions. - **Technical Leadership & Mentorship:** Provide technical direction, establish best practices in ML and MLOps, and mentor engineers across the team. ## **Basic Qualifications** - Bachelor’s degree in Computer Sc