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Experience hiring and building a team from the ground up.You're comfortable thinking a few steps ahead of where the team is at now. Proven experience running concurrent experiments on ML systems to assess the efficiency of new features.The ideal candidate has a background delivering successful and scalable ML solutions that solve genuine user and business problems.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.Passionate about building phenomenal personalization experiences for Uber users all over the world.Experience leading ML and backend engineers across all levels.Experience working with non-engineering partners including product managers, user researchers, technical program managers, designers, and data scientists.2+ years of experience frontline managing a mix of ML and backend engineers across various technologies.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.Solve challenging problems with cutting edge ML solutions, designs, and algorithms.Work with smart and motivated teammates in a fast-paced environment.Help guide the development of complex ML systems to ensure they are designed for scalability and low latency.

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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.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.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.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! You will be on a super collaborative team designed to maximize your ability to deliver results. We work on everything from enhancing rider growth and deepening engagement to growing Uber's footprint in the multi-modal trip marketplace. In this role, you can have a significant impact on a wide range of Uber rider products and Uber consumers. Our team's mission is to serve the ML needs of the entire Uber Rider organizations (> 200 people). 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.

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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. On the Rides Engineering team, we write code that ignites opportunities for millions of people every day. werent the only Makeshift Muse x SLO Public Market Region Wine Bar is.

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