Music Generation Research Engineer

Adobe Inc.
United States, California, San Francisco
Jan 27, 2025
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! The Opportunity Music is at the heart of a large class of creative endeavors and an integral part of content creation. To help everyone create compelling videos, podcasts, and more, we are re-imagining music technology with generative AI to dramatically simplify the music creation process. We are looking for a research engineer (junior or senior) that is passionate about music generation, inference and post-training pipelines/algorithms, data annotation/collection, reinforcement learning, high-quality infrastructure and code-quality, and/or related foundational model training, inference, and data work. What you'll do Drive high-quality system design for modelling engineering and productization efforts. Develop production inference algorithms, pipelines, and APIs with cross-functional teams. Develop evaluation infrastructure, metadata annotation, and/or related benchmarking. Work together with other researchers, engineers, and product partners for real-world impact. Iterate on technologies that you invent and work with product teams to productize your work. Engage with the scientific community, publish papers, and file patents based on your research. What you need to succeed Masters, PhD degree, and/or record of exceptional ability. Exceptional "engineering generalist" skills and/or large-scale model training or deployment. Experience in music and audio AI. Hands-on experience with machine learning frameworks and models. Deep insight into real-world audio applications Ability to convert a research idea/paper to code in Python. Strong communication, teamwork, and collaboration skills. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $162,000 -- $301,200 annually. Paywithin this range varies by work locationand 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. 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. Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Adobe is proud to be anEqual Employment Opportunityand affirmative action 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.Learn more. 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, emailaccommodations@adobe.comor call (408) 536-3015. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees.