Applied Scientist, Firefly Foundry

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.

We are especially looking for candidates experienced in large‑scale, industry‑level pre‑training and mid‑training of multimodality generative models. This role has a direct impact on the quality of Adobe’s image and video generation models, supporting next‑generation creative workflows for millions of users.

As an Applied Scientist at Adobe, you will join a world‑class team of applied researchers and engineers building the future of digital experiences — innovating across the full training stack, collaborating across data, modeling, and product, and shipping your work to customers worldwide.

• 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, cont rollability, 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.

• Ph.D. or MS in Computer Science, Machine Learning, or a related field, with 4+ 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.
• Strong publication record in Computer Science, AI/ML, or related fields.

• 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

U.S. pay range for this position is $151,800 – $265,350 annually. Pay within this range varies by work location and may also depend on job‑related knowledge, skills, and experience. Pay ranges for specific states: $183,300 – $265,350 in California; $165,600 – $239,725 in Washington.

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.

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

There is no Final date to receive applications to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.