Sr Engineering Manager: Rider Intelligence

Machine Learning, Engineering in Sunnyvale, California

About the role:
As Sr engineering manager for the rider intelligence team, you will join a team that leverages cutting-edge machine learning and artificial intelligence to create an app experience that feels intuitive and personalized for millions of riders around the world. Your mission will be to ensure that riders always feel understood, with the app effortlessly anticipating their needs whether they're booking a trip for immediate travel or exploring services that can meet future needs they didn't even know they had.

In this role, you will collaborate closely with product managers, data scientists, and cross-functional teams to design scalable systems that enable a seamless, intelligent rider experience. You'll focus on helping users discover the right products and services tailored to their context, unlocking new possibilities and ensuring Uber is there for them at every step of their journey. This will be powered by building ML models and infrastructure staying at the cutting edge of ML/AI research in the industry.

This is an exciting opportunity to be part of a broader rider ML team with a far-reaching mission to personalize many aspects of the app and make Uber feel like a personal assistant that's always one step ahead.

What the candidate will do:

• Define and execute the rider ML product and engineering roadmap and strategy, focusing on personalization and discovery experiences that enhance the rider journey.
• Collaborate with product managers, data scientists, designers, and operations to identify opportunities, prioritize initiatives, and deliver ML-powered features that feel intuitive and assistive.
• Develop scalable systems that help riders easily book trips when they have an immediate need, while also surfacing personalized recommendations for future planning or unmet needs.
• Partner with other product & engineering teams to ensure ML frameworks and capabilities are leveraged to create cohesive, delightful user experiences.
• Stay on top of industry trends and emerging best practices in machine learning and personalization to ensure Uber continues to lead in innovation.

Basic qualifications:

• MS or equivalent experience in computer science, engineering, mathematics or related field.
• 10+ years of industry experience as an applied scientist/machine learning engineer with 5+ years of experience leading a team as a manager.
• Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design.
• Experience working with cross-functional teams (product, science, product ops, etc.).

Preferred qualifications:

• Experience leading a team of teams through other managers.
• PhD in machine learning, data science or related fields.
• Demonstrated ability to align technical investments with high-impact use cases and broader business objectives.
• Experience crafting an ML-first vision, identifying machine learning needs across multiple products, and proposing solutions that serve long-term user and business needs.
• Experience in consumer-facing products, with a focus on personalization, content recommendation, and understanding user context to create tailored experiences.
• Extensive experience in data analysis and experimentation, with the ability to craft and execute multivariate tests to inform product direction.
• Proven ability to navigate a diverse set of opinions among cross-functional teams, synthesize different perspectives, and drive decisions effectively.
• Strong communication skills, with the ability to articulate complex ideas clearly to both technical and non-technical audiences.