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 large-scale applications. This role involves driving technical execution and strategy while collaborating with various stakeholders to ensure high-quality AI solutions. You will mentor and grow a team of deep learning engineers, fostering a culture of excellence and innovation. Your efforts will directly contribute to the success of critical product experiences across the platform.

• Bachelor’s degree in Computer Science, Engineering, or equivalent technical background with exceptional demonstrated impact.
• 12+ years of industry experience, including 3+ years leading high-performing engineering teams in large-scale distributed production environments.
• Proven track record of delivering sustained business impact over multiple quarters through strong execution and organizational leadership.
• Experience driving timely execution through effective delegation and leading cross-team alignment.
• Demonstrated ability to translate complex business problems into multi-year technical strategies.

• Lead and manage a team of software and deep learning engineers to deliver high-quality computer vision products.
• Develop and execute technical strategies that align with business objectives and translate product requirements into clear roadmaps.
• Collaborate cross-functionally with Product, ML Infra, Data, and partner engineering teams to drive technical innovation.
• Plan, prioritize, and oversee execution to ensure timely delivery through effective delegation.
• Mentor and develop a world-class team of deep learning engineers, fostering a culture of continuous learning and high performance.

• 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.