Applied AI at Uber builds intelligent systems that power critical product experiences across the platform. As an Engineering Manager II — Computer Vision, you will lead a high-performing team of engineers developing state-of-the-art vision and multimodal systems that support large-scale, production-grade applications such as document intelligence, onboarding automation, transcription systems, and other visual AI workflows. You will be responsible for driving technical execution and long-term strategy across computer vision initiatives, partnering closely with Product, ML Infrastructure, and cross-functional stakeholders. This role requires strong technical depth in machine learning systems and distributed production environments, combined with exceptional people leadership and organizational impact. You will shape multi-year technical direction, elevate engineering standards, and ensure your team delivers reliable, scalable, and high-quality AI solutions that drive measurable business impact. - - What You Will Do: - - - Lead and manage a team of software and deep learning engineers, delivering high-quality computer vision products and scalable ML systems. - Develop and execute technical strategies that align with business objectives, translating complex product requirements into clear, multi-quarter roadmaps and platform architecture. - Collaborate cross-functionally with Product, ML Infra, Data, and partner engineering teams to drive technical innovation and deliver measurable impact across business units. - Plan, prioritize, and oversee execution, ensuring timely delivery through effective delegation, empowering tech leads, and maintaining high engineering standards. - Mentor, grow, and develop a world-class team of deep learning engineers, fostering a culture of continuous learning, operational excellence, and high performance. - - Basic Qualifications: - - - 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, empowering technical leads, and leading cross-team alignment by setting clear priorities and resolving trade-offs. - Demonstrated ability to translate complex business problems into multi-year technical strategies and cross-team platform architectures. - - Preferred Qualifications: - - - Strong experience training and optimizing large-scale vision or multimodal models, including Vision-Language Models (VL - Ms) or foundation models. - Deep understanding of computer vision techniques such as object detection, segmentation, OCR, document layout understanding, and point cloud processing. - Experience working with large-scale distributed systems and real-time data processing environments. - 3 years of experience managing a team of senior engineers, with demonstrated strength in coaching, career development, and building inclusive, high-performing teams. - Experience partnering closely with ML Infrastructure teams to scale training, evaluation, and deployment pipelines.