Senior Applied Researcher, AI Foundations- Adobe Express

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

Adobe Express empowers users to seamlessly construct striking designs, whether they are novices or experienced engineers, on a user-friendly platform improved by groundbreaking AI capabilities. The AI Foundations team sits at the core of this vision, driving innovation to make Adobe Express smarter, faster, and more adaptive. By developing modular, reusable AI systems and crafting a robust Horizon AI Stack, this team will play a pivotal role in transforming creative workflows. Joining this team means shaping the future of creativity, solving complex engineering challenges, and delivering scalable AI solutions that redefine what’s possible in design.

What You'll Do

• Develop and deploy advanced ML models in areas such as computer vision, generative modeling, and multimodal learning.
• Contribute to core capabilities in intelligent design assistance, layout automation, semantic understanding, and content generation.
• Help build modular ML components that integrate into Adobe’s Horizon AI Stack and serve multiple creative workflows.
• Drive the end-to-end ML lifecycle—from experimentation to evaluation, optimization, and production deployment.
• Collaborate closely with Adobe Research, engineering, and product teams to bring AI-powered features to life.
• Design evaluation strategies using a combination of automated metrics and user feedback.

Basic Qualifications

• Bachelor’s, advanced degree, or PhD in Computer Science, Data Science, Machine Learning, or a related field with equivalent experience.
• 5+ years of industry experience in applied machine learning or product development related to AI.
• Proficiency in ML frameworks such as PyTorch, TensorFlow, or JAX.
• Experience with modern ML architectures including transformers, diffusion models, or GANs.
• Strong programming skills and experience deploying ML systems in production.
• Familiarity with cloud platforms, distributed systems, and MLOps tools.

Preferred Qualifications

• Experience in creative, imaging, or multimedia domains.
• Familiarity with agent-based systems, intelligent assistants, or planner-based AI.
• Demonstrated ability to bring research ideas into real-world applications.
• Publications in renowned ML/CV/AI conferences (e.g., NeurIPS, CVPR, ICML, SIGGRAPH).
• Experience working with large foundation models or multimodal AI systems.

What You Need to Succeed

• Passion for creativity and a drive to enhance it through intelligent systems.
• Problem-solving approach and ease with working in an iterative environment.
• Strong communication skills with the ability to explain technical ideas clearly.
• Collaborative spirit with a focus on product impact and engineering excellence.
• Openness to learning and adapting in a fast-paced setting.

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 -- $257,600 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.

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 law