Uber is seeking a leader for its Machine Learning Platform, Michelangelo, to drive innovation and manage distributed systems. This role involves empowering product engineering and data science teams with advanced AI technologies. The candidate will work with a team of skilled engineers in a fast-paced environment, focusing on enhancing ML quality and capabilities at Uber. The position requires a strong technical background and leadership skills to guide the team in achieving high-quality project delivery.

• At least 6 years of experience as a software engineering leader and manager.
• Proven ability to work effectively in a multi-location team.
• Experience with large-scale distributed systems, including multi-tier architectures and application security.
• A track record of leading engineering teams to meet high-stakes business goals.
• Experience in cross-functional collaboration to advocate for team and business priorities.
• Strong skills in architecting and designing robust, high-scale systems.

• Manage a team focused on enhancing ML and AI capabilities across Uber.
• Drive technical alignment with internal and partner teams.
• Own the execution and delivery of project roadmaps with high quality.
• Contribute to the engineering culture and uphold team processes.
• Mentor and develop a team of backend, ML, and infrastructure engineers.
• Facilitate technical decision-making using technical expertise.
• Recruit high-quality engineering talent for the team.

• Employees at Uber are often offered comprehensive health, life, disability, and mental wellness benefits, along with wellbeing stipends, travel medical coverage, and monthly Uber credits for Rides and Eats. Employees also get generous paid parental leave, flexible time off, and family-planning support so they can care for themselves and their families at every stage.