Applied Scientist 3

Adobe Firefly’s ASML group invites research scientists and engineers who are passionate about conditional generation and editing of large generative AI models. This role emphasizes image and video synthesis, and 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, product, and see your work shipped to customers worldwide. Job 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, emphasizing 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. What you’ll need to succeed 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 cutting‑edge 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. Experience working with product teams on technology transfers. Strong history of publishing in Computer Science, AI/ML, or related areas. Equal Employment Opportunity 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. Expected Pay Range The U.S. pay range for this position is $120,700 – $238,600 annually. Pay within this range varies by work location and may also depend on job‑related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $164,800 – $238,600. In addition, certain roles may be eligible for long‑term incentives in the form of a new hire equity award. #J-18808-Ljbffr Frame.io