Applied Scientist

Adobe • San Jose, CA

1d • $120,700 - $238,600

About The Position

Adobe Firefly’s ASML group invites research scientists and engineers passionate about conditional generation and editing of large generative AI models. This role emphasizes images and videos. We strive to advance generative AI technology while guaranteeing models possess excellent quality and control. We are especially looking for candidates experienced in large-scale, industry-level pre-training and mid-training of multi-modality generative models. This role has a direct effect 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. You will have the opportunity to innovate across the full training stack, collaborate across data, modeling, and product, and see your work ship to customers worldwide.

Requirements

• Possession of a Master’s or Ph.D. degree in Computer Science, Machine Learning, or a related field.
• Extensive practical experience in large-scale generative AI training concentrating on image and video generation and editing.
• Familiarity with diffusion models, transformers, or other brand new generative architectures.
• Excellent communication skills and ability to collaborate across cross-functional teams.
• Strong coding and prototyping ability in Python, PyTorch, and ML infrastructure tools.
• Working with product teams on technology transfers.
• Strong history of publishing in Computer Science, AI/ML, or related areas.

Responsibilities

• Conduct innovative research and development in training large-scale generative AI models for image and video synthesis.
• Develop, carry out, and carefully assess sophisticated techniques for conditional generation and editing. Emphasize improving instruction compliance, controllability, and visual clarity in pre-trained image and video models.
• Collaborate cross-functionally with researchers, engineers, and product teams to translate multimodal innovations into scalable downstream applications coordinated 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 machine learning frameworks.

Benefits

• At Adobe, you will be immersed in an exceptional work environment that is recognized around the world.
• You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
• If you’re looking to make an impact, Adobe's the place for you.
• Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees