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Lead and grow a team of engineers to deliver features for the Acrobat iOS application, while driving cross-functional collaboration with product and design teams. Ensure product development transparency and effectiveness through the CI/CD pipeline. Focus on mentorship and fostering a collaborative work culture.

The Senior ML Engineer will design, develop, and maintain AI/ML infrastructure solutions to support large-scale model training and deployment. Responsibilities include optimizing distributed training frameworks, collaborating with ML researchers, and innovating infrastructure practices.

The Software Solutions Architect will collaborate with B2B marketing automation teams and clients to drive successful technical implementation and product adoption of Adobe's solutions. They will tackle complex architecture solutions, define standards, provide recommendations, and foster partnerships across various teams to ensure customer success. Additionally, they will identify opportunities for product improvement and translate the product roadmap into actionable guides for clients.