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 build and deliver outstanding digital experiences! We’re passionate about empowering people to develop 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 crafting outstanding employee experiences. Everyone is respected and has access to equal opportunity. We realize new ideas can come from anywhere in the organization. We know the next big idea could be yours!
Adobe Firefly’s Applied Science & Machine Learning (ASML) group is seeking research scientists and engineers passionate about conditional generation and editing of large-scale generative AI models. They will concentrate on images and videos. Our aim is to advance generative AI and ensure models have high quality and controllability.
We are especially seeking candidates experienced in large-scale, industry-grade pre-training and mid-training of multi-modality generative models. This role directly influences 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, and product, and see your work ship 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 evaluate sophisticated techniques for conditional generation and editing. This work emphasizes improving instruction adherence, controllability, and the visual quality of 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.
- Define and build comprehensive evaluation frameworks and benchmarking pipelines to assess generative models across quality, efficiency, safety, and reliability, establishing guidelines and standards for the organization.
- Translate research concepts and published work into production-ready implementations using Python and modern machine learning frameworks.
- Collaborate with technical leads to build long-term technical strategy and roadmap, while mentoring and guiding junior engineers and researchers to elevate team capability and impact.
What you'll need to succeed
- Hold a Master’s or Ph.D. in Computer Science, Machine Learning, or a closely related area.
- Extensive practical experience in large-scale generative AI training emphasizing the creation and modification of images and videos.
- Familiarity with diffusion models, transformers, or other brand new 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.
- Working with product teams on technology transfers
- Strong history of publications in Computer Science, AI/ML, or related areas
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
** Let’s Adobe together**
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
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.
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AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
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 position is $142,700 -- $270,950 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 $187,100 - $270,950
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:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
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. 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:
Massachusetts Legal Notice
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.