Principal Scientist, Generation Data Architect (Image & Video & Audio)
About The Position
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.
Requirements
- 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
Nice To Haves
- Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related field preferred
Responsibilities
- 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
Benefits
- comprehensive benefits programs
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
