Research Engineer
- San Francisco, California, United States of America
- San Jose, California, United States of America
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!
Are you passionate about audio generation? Adobe's Sound Design AI group (SODA) is looking for talented machine learning researchers and engineers to push the boundaries of audio GenAI. Join the team behind Audio Generative Extend in Premiere Pro beta, Project Super Sonic for SFX GenAI, and multiple AI models that have shipped in Adobe products.
We’re a small, collaborative and efficient research team looking for highly motivated candidates of all levels with a passion for audio and video. If the prospect of productizing cutting-edge research into impactful tools for Adobe’s creative users sounds exciting, this is it!
This is your opportunity to be part of a team with strong research and product impact that will support your growth. Join us in crafting the future of digital media in an environment that nurtures your talents and ambitions. Let’s innovate together!
Job Responsibilities
- Develop cutting-edge audio GenAI with a focus on Sound Design AI (sound effects, environmental sound, ambient sound)
- Collaborate with extraordinary researchers to bring research ideas to production
- Develop and transfer novel technologies to Adobe products
- Research and develop novel large-scale foundation models in Generative AI
- Ability to convert a research idea/paper to code in Python
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 GANs, diffusion, and/or language models
- Audio and/or video signal processing expertise
- Experience with large-scale generative model training, datasets, and infrastructure
Preferred experience:
- Industry experience in large-scale model training and deployment
- Working with product teams on technology transfers
- Good publication record in Computer Science, AI/ML or related fields
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 an Equal Employment Opportunity and 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, email accommodations@adobe.com or 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.
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