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The Research Scientist will conduct research in computer graphics, computer vision, and machine learning, focusing on generative AI methods for content creation. Responsibilities include developing and patenting algorithms, collaborating with researchers and product groups, and integrating prototypes into Adobe products.

The Compensation Manager at Adobe will develop and implement compensation education strategies for global sales teams, conduct training sessions, provide support for compensation inquiries, and lead communications about pay structures and changes. They will also manage a team of compensation analysts.

The Compensation Insights Analyst at Adobe will develop performance dashboards, conduct ad-hoc analyses, communicate insights to senior leadership, and support data-driven decision-making. They will focus on generating insights related to seller performance and its impact on business outcomes.

As a Java Software Engineer, you will collaborate with the Engineering team and Product Management to develop features for the Workfront products in an Agile environment. You'll create OO designs, estimate work, fix bugs, enhance user experience, and take part in discussions about emerging technologies and product improvement.

As a Staff Software Engineer at Adobe, you'll develop multi-modal and multi-lingual systems for search and recommendations, craft scalable fault-tolerant solutions, and integrate services with Adobe products. Responsibilities include building a real-time indexing platform, optimizing user experience, and analyzing data to improve workflows.

The Senior Product Marketing Manager will create compelling copy for Adobe Acrobat and productivity apps, collaborating with various teams to develop content strategies, ensuring clarity and consistency in messaging, and staying informed about industry trends to create relevant marketing content.

The Applied Scientist will leverage AI and machine learning techniques to solve big-data problems at Adobe. Key responsibilities include developing predictive models, implementing scalable algorithms, and collaborating across teams to create new products. The role requires strong skills in statistical modeling and programming to enhance customer experiences throughout their lifecycle.