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
We're looking for a world class AI infrastructure expert to lead the development of our AI Inference Platform. You will lead the architecture, design, development, and testing of the platform with a goal to enable the Firefly product team to easily manage and deploy ML capabilities used by Adobe client applications. In addition to the first party team, Applied Research groups from Adobe Research and other App Teams in Adobe will deploy thousands of models in onto this platform, in a variety of lifecycle stages (early research, development, productization, optimization, etc). This platform will offer ML model serving at scale, with high cost efficiency and on a wide variety of hardware platforms, across multiple clouds.
What You'll Do
• Engage with Applied Research (and Research) groups and Firefly App Integrations team to understand their needs and goals, and use this knowledge to drive the development and evolution of the AI Inference Platform.
• Identify and implement best practices and open-source or public cloud solutions to increase the efficiency and scalability of the platform.
• Ensure inference service maximizes GPU utilization, scales models independently and optimizes COGs.
• Lead the engineering aspects of the AI Inference Platform - evolving the platform as needed.
• Collaborate with other teams across Adobe that need short-term training and inference.
What You'll Need to Succeed
• A deep understanding of AI/ML, including ML frameworks, public cloud and commercial AI/ML solutions - familiarity with Pytorch, SageMaker, HuggingFace is required.
• Experience in building and scaling distributed systems, and experience with containerization and orchestration technologies (Kubernetes, EKS)
• Strong communication and collaboration skills - building strong relationships with internal stakeholders and external partners
• A track record of attracting talent and leading high-performance teams to deliver results in a fast-paced and dynamic environment of AI infrastructure
• 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 - experience with ONNX, NVidia TensorRT, OpenAI Triton, Meta AITemplates, CoreML, WinML is a plus.
• A Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent industry experience
#FireflyGenAI
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 positionis $146,300 -- $281,100 annually. Paywithin this range varies by work locationand 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 is proud to be anEqual Employment Opportunityand 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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