About the job
Join our team as a Manager, Applied Science and lead the development of cutting-edge training data for generative AI. Drive innovation in large-scale data pipelines, collaborate with top researchers, and shape the future of creative tools used by millions worldwide. Make a global impact with Adobe’s industry-leading AI team.
Responsibilities
Lead and grow a distributed team focused on training data for generative AI.
Define and execute the strategy for acquiring, processing, curating, annotating, versioning, and ensuring the quality of large-scale datasets for Custom Foundation Models.
Build and maintain scalable, efficient data pipelines across the training data lifecycle.
Collaborate with researchers, ML engineers, and product managers to align on data needs for foundation models.
Champion data diversity, bias mitigation, and ethical AI practices.
Evaluate and integrate tools and methodologies that enhance infrastructure and workflows.
Influence model development through insights on data quality and availability.
Provide technical leadership and foster a culture of innovation.
Partner across teams to align data priorities and share best practices.
Qualifications
Minimum
Master’s or Ph.D. in Computer Science, Data Science, Engineering, AI/ML, or a related field — or equivalent experience.
5+ years of experience in engineering leadership.
Deep understanding of ML data lifecycles, particularly for generative models.
Experience in the science and algorithms underpinning data for generative AI.
Experience with synthetic data creation and curation.
Strong grasp of data privacy, security, and ethical AI principles.
Excellent leadership and cross-functional collaboration skills.
Experience working with large-scale image and video datasets.
Preferred
No preferred qualifications listed.