Staff Applied Scientist

About the Role This role targets an elevated profile to handle high‑visibility projects and build foundational capabilities. You will be expected to materially improve the quality and controllability of Adobe’s generative multimodal models. By strengthening Adobe’s competitive position in generative AI quality and alignment, you will drive sustained improvements. Key Responsibilities Design and implement end‑to‑end training pipelines to build foundational models for both images and videos. Lead core development for specific pre‑training areas (e.g., text to image and text to video), while aligning with broader team strategy. Develop scalable workflows for data curation, data quality improvements, and distributed training. Partner closely with research, data, evaluation, infrastructure, pre‑training and post‑training teams to push the editing quality for both images and videos. Collaborate closely with pre‑training and post‑training teams to understand the model’s capability and limitations, and propose actionable solutions to improve quality. Improve instruction‑following, visual fidelity, and edit consistency through higher quality data and better training recipes. Qualifications & Requirements Ph.D. in Computer Science, Machine Learning, or a related field preferred. Proven track record in pre‑training of large‑scale multimodal models, specifically on cross modality for image and video data. Deep understanding of pre‑training for multimodal generative models. Strong expertise in Vision‑Language Models (VLMs), including experience with contrastive learning, multimodal alignment, and leveraging VLM‑based encoders to improve semantic understanding in generative tasks. Deep understanding of modern diffusion‑based architectures (DiT). Ability to design and implement scalable pipelines for data curation, data quality control, and distributed training in collaboration with data and infrastructure teams. Experience optimizing model inference and deployment for high‑throughput product environments, ensuring a balance between generative quality and computational efficiency. Since this is a junior role, strong publications experience and previous industry‑level internship experience are required. Expected Pay Range The U.S. pay range for this position is $164,000 – $313,300 annually. Pay within this range varies by work location and may also depend on job‑related knowledge, skills, and experience. In California, the pay range for this position is $216,400 - $313,300. Benefits Potential eligibility for long‑term incentives in the form of a new hire equity award. State‑Specific Notices California Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado If this role is open to hiring in Colorado, the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts 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. 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. #J-18808-Ljbffr Frame USA