Software Engineer II - Personalization (Growth & Marketing)

Software Engineer II - Personalization (Growth & Marketing) Department: Engineering Team: Backend Location: Seattle, United States Type: Full-Time **About the Role** The Growth & Marketing organization sits at the intersection of infrastructure, intelligence, and user engagement—building platforms that power over 10 billion personalized and timely communications each month across Uber’s global user base. We solve the critical challenge of moving beyond "one-size-fits-all" marketing by generating billions of personalized messages each month, covering key moments in the user journey across all of Uber's lines of business. In this role, you'll work on core backend services that power personalized recommendations across surfaces like Uber Eats, Rides, and more for millions of customers. You’ll collaborate closely with applied science, product and marketing partners to build reliable, intelligent systems that maximize engagement—ensuring Uber reaches the right user, at the right time, with the right message. **What You' ll Do** 1. Design, build, and operate scalable backend services for large-scale recommendation systems, including candidate generation, real-time content ranking and guardrailing. 2. Partner with Applied Scientists to productionize and iterate on ML models that improve the relevance and quality of personalized content for millions of users. 3. Collaborate closely with Product and Marketing teams to ship features that have a direct impact on user engagement and business growth. 4. Write clean, maintainable code and participate in design reviews, code reviews, and incident responses **Basic Qualifications** 1. 3+ years of experience in backend or platform software engineering. 2. Proficiency in at least one modern backend language (e.g., Go, Java). 3. Strong grasp of computer science fundamentals (data structures, algorithms, OOP). 4. Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. **Preferred Qualifications** 1. Experience designing or operating large-scale distributed systems. 2. Experience with building or working on recommendation systems or personal