Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity
Adobe’s looking for a world-class AI cloud services leader to lead our generative AI app integrations roadmap. Adobe Firefly Services power generative AI features and experiences in a wide range of applications like Generative Fill in Photoshop, Text to Vector in Illustrator, Text to Template in Express, Text to Image in multiple apps. In the future, these services will power newer modalities like audio, video, 3D and multi-modal capabilities!
Take charge of US Engineering Teams, guiding them in developing Firefly pipelines and services for generative features in Adobe’s apps/surfaces. Drive faster GenAI feature deployment and establish a scalable process to amplify Adobe’s GenAI capabilities in our products.
What You’ll Do
- Engage with Applied Research and product teams, such as Photoshop, Illustrator, Express, to develop a comprehensive plan for implementing machine learning solutions in our flagship applications.
- Collaborate with product management leadership and other collaborators to define the generative AI feature strategy and secure executive consensus
- Collaborate closely with various platform teams to bring to bear existing inference systems and identify necessary improvements to accommodate future modalities (video, streaming, etc.)
- Lead planning and delivery of GPU optimized, efficient model pipelines for new Firefly features serving a variety of modalities such as images, vectors, 3D, etc.
- Grow and scale processes and global teams with a goal to increase the velocity at which AI feature capability manifold
- Ensure the delivery of a scalable, reliable cloud service with observability, logging and tracing to enable quick detection, understanding and resolution of run-time issues
What You’ll Need to Succeed
- A minimum of twelve years of proven experience, including at minimum, five years of engineering leadership
- Detailed understanding of AI/ML, including ML frameworks, public cloud, and commercial AI/ML solutions - familiarity with Pytorch, SageMaker, HuggingFace is required.
- Image Processing, Computer Vision, Generative AI experience is strongly preferred
- Knowledge regarding the creation and optimization as well as operation of GPU intensive ML workloads in production environments
- Understanding of model serving, orchestration, scaling and GPU resource management
- A track record of attracting talent and leading multiple high-performance teams to deliver results in a fast-paced and dynamic environment of AI infrastructure
- Excellent communication and collaboration abilities - establishing positive relationships with team members and external partners
- Strong analytical and problem-solving skills, with the ability to think strategically and make data-driven decisions
- A passion for staying up to date with the latest trends and technologies in AI/ML - in the cloud and on device
- A Bachelor’s or equivalent experience in Computer Science, Electrical Engineering, Computer Vision, or a related field
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $174,100 -- $346,800 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
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Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.