Sr Machine Learning Engineering Manager, ML Data Platform

Our CompanyChanging 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 OpportunityAt Adobe Firefly we build foundational generative models for image, video, and other modalities which power the suite of products at Adobe. This work is powered by a platform comprised of data, training, and inference infrastructures.We are looking for a world-class senior ML engineering manager to lead the data infrastructure development of this platform. You will lead the architecture, design, development, and testing of the infrastructure with the goal of bolstering the efforts on data ingestion, storage, enrichment, and availability. This is a highly cross-functional role where you will closely work with the training platform, inference platform, Adobe Research, Applied Research, and Adobe Stock teams, among others.ResponsibilitiesLead projects to build scalable next-gen ML data infrastructure systemsCollaborate cross-functionally with Research and Applied Research teams as well as ML training and deployment teamsGrow, develop, and scale the teamProvide technical leadership to team membersRequirements:A deep understanding of AI/ML, including ML frameworks, public cloud and commercial AI/ML solutionsExperience 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 partnersA track record of attracting talent and leading high-performance teams to deliver results in a fast-paced and dynamic environment of AI infrastructureExperience managing very senior engineers and/or senior managersStrong analytical and problem-solving skills, with the ability to think strategically and make data-driven decisionsA passion for staying up to date with the state of the art in Generative AI for Computer Vision and cutting-edge technologies in AI/MLA master's or a doctorate degree in Computer Science, Electrical Engineering, or a related field, or equivalent industry experience

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