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 Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.
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.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.