Software Engineer II - Personalization (Growth & Marketing)

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 Will Do

• Design, build, and operate scalable backend services for large-scale recommendation systems, including candidate generation, real-time content ranking and guardrailing.
• Partner with Applied Scientists to productionize and iterate on ML models that improve the relevance and quality of personalized content for millions of users.
• Collaborate closely with Product and Marketing teams to ship features that have a direct impact on user engagement and business growth.
• Write clean, maintainable code and participate in design reviews, code reviews, and incident responses

- Basic Qualifications -

• 3+ years of experience in backend or platform software engineering.
• Proficiency in at least one modern backend language (e.g., Go, Java).
• Strong grasp of computer science fundamentals (data structures, algorithms, OOP).
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

- Preferred Qualifications -

• Experience designing or operating large-scale distributed systems.
• Experience with building or working on recommendation systems or personalization
• Familiarity with machine learning lifecycle, including feature engineering, A/B testing and deploying models to production.
• Experience with real-time data processing and event-driven architectures.
Excellent debugging, problem-solving, and performance tuning skills.

For Seattle, WA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.