Principal Scientist, Generation Data Architect; Image & Video & Audio

About the Role

We’re looking for a Principal Scientist (P60) to shape the data strategy behind Adobe Firefly’s multimodal foundation models (image, video, audio). In this role, you’ll work across research and engineering to improve how large-scale visual data is sourced, curated, and used to train high-quality generative models. Your work will directly impact how Firefly understands concepts like style, motion, and real-world variation—helping deliver more realistic, controllable, and useful creative tools to millions of users.

This is a senior individual contributor role with broad influence across teams and model generations.

• Develop a long-term approach to generation-focused data that improves image, video, and audio synthesis at scale
• Guide decisions around data quality, diversity, and composition for foundation model training
• Explore new methods to address gaps in current data approaches and improve model performance

• Work closely with model teams to align data design with model architecture and training behavior
• Build and refine data curricula across training stages (what data is used, when, and at what scale)
• Run and interpret experiments to understand how data impacts quality, motion, robustness, and efficiency
• Combine organic, synthetic, and model-generated data to improve learning outcomes

• Partner with research, engineering, and product teams to guide data-related decisions
• Share insights that shape roadmaps across modeling, infrastructure, and applied research
• Support and mentor other scientists, contributing to a culture of strong experimentation and learning
• Help translate research ideas into scalable systems used in production models

• 10+ years of experience in ML, data systems, or AI research, including work on large-scale or foundation models
• Experience shaping data strategies, representations, or training approaches for generative or multimodal systems
• Expertise in image and/or video and audio generation, with a strong understanding of how data affects model behavior
• Understanding of how data, model architecture, and training dynamics interact
• Ability to communicate complex ideas clearly and work effectively with technical and cross‑functional partners

• Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related field preferred

The U.S. pay range for this position is $206,300 – $388,000 annually. In California, $268,000 – $388,000. In Washington, $247,200 – $357,900.

Adobe is proud to be an Equal Employment Opportunity 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 protected characteristic. Learn more.