Staff Applied Scientist, Firefly Foundry

About the role

The Opportunity Firefly Foundry is Adobe’s enterprise managed-service offering for custom multimedia generative AI — deep-tuned image, video, and 3D models built on each customer’s IP, paired with creative production workflows and a media-intelligence layer, and deployed across new and existing Adobe surfaces. The business has gained significant traction in Media & Entertainment, marketing, and consumer retail, and is expanding rapidly into adjacent verticals.

Responsibilities

• Conduct innovative research and development in training large-scale generative AI models for image and video synthesis.
• Develop, implement, and rigorously evaluate advanced techniques for conditional generation and editing — with emphasis on improving instruction compliance, controllability, and visual quality in pre-trained models.
• Collaborate cross-functionally with researchers, engineers, and product teams to translate multimodal innovations into scalable downstream applications within Adobe products.
• Develop and maintain robust evaluation pipelines to assess generative models across quality, efficiency, robustness, and safety metrics.
• Translate research concepts and published work into production-ready implementations using Python and modern ML frameworks.

Requirements

• Ph.D. or MS in Computer Science, Machine Learning, or a related field, with 8+ years industry experience.
• Extensive practical experience in large-scale generative AI training with a focus on image and video generation and editing.
• Familiarity with diffusion models, transformers, or other state-of-the-art generative architectures.
• Strong coding and prototyping skills in Python, PyTorch, and ML infrastructure tools.
• Excellent communication skills and ability to collaborate across cross-functional teams.
• Experience working with product teams on technology transfers.

Qualifications

• Experience on large-scale generative model training.
• Experience on synthetic data generation.
• Experience of working with large-scale datasets.
• Experience of working with product teams on technology transfers.

Skills

Not specified.

Benefits

Not specified.

Pay

$172,500 -- $306,625 annually.

Schedule

Not specified.