Uber Sr Engineering Manager Rider Intelligence 

United States, West Virginia 

446509766

What You'll 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 Scientists/Machine Learning Engineer with 5+ years of experience leading 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 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.

For San Francisco, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year.