As an Engineering Manager II in Computer Vision at Uber, you will lead a team of engineers focused on developing advanced vision and multimodal systems for various applications. This role involves driving technical execution and long-term strategy while collaborating with cross-functional teams. You will be responsible for shaping the technical direction and ensuring the delivery of high-quality AI solutions that have a measurable business impact. Your leadership will foster a culture of continuous learning and operational excellence within your team.

• Bachelor's degree in Computer Science, Engineering, or equivalent technical background.
• 12+ years of industry experience, including 3+ years leading high-performing engineering teams.
• Proven track record of delivering sustained business impact through strong execution.
• Experience in driving timely execution through effective delegation and cross-team alignment.
• Demonstrated ability to translate complex business problems into technical strategies.

• Lead and manage a team of software and deep learning engineers.
• Develop and execute technical strategies that align with business objectives.
• Collaborate cross-functionally with Product, ML Infra, Data, and partner engineering teams.
• Plan, prioritize, and oversee execution to ensure timely delivery.
• Mentor and develop a world-class team of deep learning engineers.

• 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.