Applied Scientist

Adobe Experience Intelligence Team is looking for an Applied S who will build, deploy, and scale AI-powered systems that drive measurable business impact across Adobe's products.

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.

The Challenge

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!

Our team builds AI solutions that directly move Adobe's business — from GenAI-powered business intelligence agents and RAG-based AI assistants, to ML models for payment optimization, next-best-action personalization, customer lifetime value prediction, and in-app monetization. We partner with 10+ business units across the organization to turn data into decisions and models into revenue.

You will demonstrate AI — including AI-assisted coding and rapid prototyping — to build end-to-end products that solve real business problems fast. From LLM-powered agents and AI assistants to personalization services based on machine learning, you will manage the entire lifecycle. You will identify the opportunity with partners, build the solution including frontend, backend, data pipeline, and model, deploy it to production, and measure business impact. We move quickly, and we expect you to use every modern AI tool at your disposal to ship faster.

Ideal candidates are strong engineers who use AI to multiply their output. You're as comfortable vibe-coding a working prototype in a day as you are designing a scalable production system. You can build a RAG pipeline, stand up a web app, write a data pipeline in Spark, and deploy services on cloud infrastructure — and you use AI coding tools to do it all at 10x speed.

What you’ll do

• Rapidly build end-to-end AI products — from idea to deployed application — using AI-assisted coding tools to accelerate development across the full stack (frontend, backend, data, infrastructure)
• Build and deploy GenAI applications — including LLM-powered agents, RAG systems, and AI assistants — to solve real business problems such as business intelligence, workflow automation, and Q&A over structured and unstructured data
• Build and maintain scalable ML/AI pipelines on cloud infrastructure (Azure, Databricks) that process large-scale user behavioral data
• Collaborate directly with business collaborators across Adobe to identify high-impact AI opportunities, prototype solutions quickly, and deliver measurable results
• Own end-to-end delivery of AI services — from data ingestion and model training to API development, UI, deployment, monitoring, and business impact measurement

What you need to succeed

• MS or PhD in Computer Science, Statistics, Machine Learning, or related fields, or equivalent experience; or BS with equivalent practical experience
• Experience building ML/AI systems, with a track record of shipping models or AI applications to production
• Strong programming skills in Python
• Proficiency with AI-assisted coding tools (e.g., Claude Code, GitHub Copilot, Cursor) and a demonstrated ability to use them to rapidly build full-stack applications
• Hands-on experience with LLMs, including prompt engineering, RAG, or building AI agents
• Experience with cloud platforms (Azure preferred, or AWS/GCP) and big data tools (Spark, Databricks)
• Solid foundation in machine learning, deep learning, and statistical modeling
• Strong analytical and quantitative problem-solving ability
• Excellent communication and collaboration skills; ability to work directly with non-technical business collaborators

Preferred Qualifications

• Experience building autonomous AI agents, multi-agent systems, or agentic workflows that orchestrate tools and APIs to complete complex tasks
• Experience with function calling and tool-use patterns for connecting LLMs to external systems, databases, and data sources
• Experience with evaluation and observability for AI systems — building evals, monitoring hallucinations, measuring output quality at scale
• Track record of using AI-assisted coding to rapidly ship production applications (e.g., building a working product in days, not months)

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.

Adobe aims to make our Careers website and recruiting process 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 us.fitly.work or call View phone number on us.fitly.work.

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 $120,700 -- $238,600 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. In California, the pay range for this position is $164,800 - $238,600

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.