Software Engineer II ML, Merchant Intel 8

About this role

About the Role

Uber Eats is the fastest-growing food delivery platform in the world! Our team's work at Uber Eats directly impacts and continues to transform our communities. The Merchant Intelligence team is at the heart of this mission, building the foundational systems that help Uber Eats better understand, represent, and categorize every merchant on our platform.


As a Machine Learning Engineer on this team, you will focus on improving the quality, consistency, and usability of merchant-related data at a global scale. You will leverage our ML platform to build models that serve critical use cases across Uber, including Sales and Outreach, Onboarding, Ads and Offers, and Feed Optimization . This is a unique opportunity to work on large-scale systems where your ML solutions will directly power merchant selection and product experiences for millions of users.


What You'll Do

• **Innovate and Productionize ML Models:** Design and deploy state-of-the-art machine learning models to automate merchant data reconciliation, entity resolution, and data quality improvements.
• **Build Scalable ML Systems:** Architect and maintain end-to-end large-scale ML pipelines that ingest and process complex merchant datasets to power downstream products like Home Feed and Ads.
• **Feature Engineering:** Develop robust merchant embeddings and features that improve the precision of sales outreach and the efficiency of the merchant onboarding process.
• **Enhance Data Foundations:** Improve the ML quality, model serving foundation, and data infrastructure specifically for merchant intelligence.
• **Cross-Functional Collaboration:** Partner closely with Product, Backend Engineering, and Platform teams to translate business needs into scalable ML solutions.
• **Incremental Impact:** Maintain a bias toward shipping incremental improvements that have a clear, measurable impact on user experience and business growth.

Basic Qualifications

• **Experience:**...