On the Rides Engineering team, we write code that ignites opportunities for millions of people every day. We're focused on making Uber's core ridesharing products faster, safer, and more reliable by building scalable software solutions for riders and drivers on our platform.
About the Role
We have established a world-class Rider Personalization engineering team to build critical machine learning solutions and frameworks to empower Uber's core Rider products. Our team's mission is to serve the ML needs of the entire Uber Rider organizations (> 200 people). In this role, you can have a significant impact on a wide range of Uber rider products and Uber consumers. We work on everything from enhancing rider growth and deepening engagement to growing Uber's footprint in the multi-modal trip marketplace. You will be on a super collaborative team designed to maximize your ability to deliver results. If you are motivated by building technically challenging machine learning solutions in real-time and at scale, working on projects that impact every single Uber rider, knowing that every Uber rider sees and benefits from your work, and helping to drive Uber's top business metrics, then Rider Personalization is the team for you at Uber!
What You'll Do

• Work with product, data science, partner teams, and leadership to identify promising new applications for ML in the Rider org and then setup and execute on these projects.
• Maintain strong ties to your partner and stakeholder teams to align project timelines, address challenges that arise, and to maintain alignment on goals and plans.
• Provide leadership and mentorship for your team to ensure we are building best in class solutions, including driving adoption of testing, maintainability, and best practices in code health.
• Help guide the development of complex ML systems to ensure they are designed for scalability and low latency.
• Work with smart and motivated teammates in a fast-paced environment.
• Solve challenging problems with cutting edge ML solutions, designs, and algorithms.

Basic Qualifications

• 3+ years of industry experience with a PhD in relevant fields (CS, EE, Math, Stats, Physics, etc.), building and productionizing innovative end-to-end Machine Learning systems as an IC, or equivalent experience.
• 2+ years of experience frontline managing a mix of ML and backend engineers across various technologies.
• Experience working with non-engineering partners including product managers, user researchers, technical program managers, designers, and data scientists.
• Experience leading ML and backend engineers across all levels.
• Passionate about building phenomenal personalization experiences for Uber users all over the world.

Preferred Qualifications

• A history of setting a high bar across the board - for your own contributions, for the people you work with, and for the products you work on.
• The ideal candidate has a background delivering successful and scalable ML solutions that solve genuine user and business problems.
• Proven experience running concurrent experiments on ML systems to assess the efficiency of new features.
• Strategic mentality. You're comfortable thinking a few steps ahead of where the team is at now.
• Experience hiring and building a team from the ground up.