About the Role
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 (VLMs) 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.
For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link [https://jobs.uber.com/en/benefits](https://jobs.uber.com/en/benefits).
