Applied Scientist

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for research scientists and engineers working on generative AI models for image and video synthesis to help us build the next generation of creative tools. We are especially looking for experience in video generation. We seek candidates with strong expertise in the field, as evidenced by peer-reviewed academic publications, combined with hands-on industrial research experience. As an Applied Scientist at Adobe, you will be joining an outstanding team of applied researchers building the future of digital experiences. You will have the opportunity to develop novel ideas to advance the Creativity world through features in Adobe's products and reach millions of people worldwide! Job Responsibilities Conduct innovative research and development in Generative AI Develop and transfer novel technologies to Adobe products Research and develop novel large-scale foundation models in Generative AI Collaborate with extraordinary researchers and engineers to bring research ideas to production Ability to convert a research idea/paper to code in Python and typical machine learning development toolkits. Provide technical mentorship and guidance. What you'll need to succeed Masters or Ph.D. in Computer Science, AI/ML or related fields Excellent communication skills and a great teammate Experience in state-of-the-art Generative AI technologies, such as GAN and/or diffusion models Strong hands-on experience working on image/video generation and image/video editing Experience with large-scale generative model training Preferred experience: Working with large-scale datasets Working with product teams on technology transfers Good publication record in Computer Science, AI/ML or related fields The U.S. pay range for this position is $142,700 -- $257,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible 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 (as listed on the job posting), 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. 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. 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 applicable characteristics protected by law. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email View email address on click.appcast.io or call View phone number on click.appcast.io. #J-18808-Ljbffr