2026 Intern Applied ScienceMachine Learning Engineer

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!

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 build and deliver outstanding digital experiences! We’re passionate about empowering people to compose beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We aim to recruit top talent, ensuring outstanding employee experiences with equal opportunities. New ideas are valued from all levels, including yours!

The Opportunity

Applied Scientist / Machine Learning Engineering Interns wanted at Adobe to pioneer AI in enterprise software. Interns use innovative research techniques in projects like AI Assistant in AEP, changing how Adobe’s Digital Experience customers handle audience creation, journey optimization, and personalized experiences on a large scale.

Support enterprise AI projects by implementing advanced research strategies, experimental methods, and optimization techniques to improve conversational experiences and workflow planning.

All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and / or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.

What You’ll Do

Conduct practical research and development in a fundamental area of creating smart assistants and multi-agent systems, like natural language understanding, designing conversational interactions, generative and agent-based AI, logic, learning through rewards, causal reasoning, and ongoing learning.

Develop and implement scalable, efficient, and interpretable algorithms that can work with large-scale data in production systems, specifically the AEP Agent Orchestrator and AI Assistant.

Build benchmark datasets, evaluation protocols, and metrics to advance model performance.

Collaborate with applied researchers, engineers, and product managers to translate research ideas into coordinated solutions.

Present findings through technical reports, publications, or demos to share impact internally and externally.

What You Need to Succeed

Enrolled full-time in a Computer Science, Statistics, Data Science, NLP, or related quantitative field program, expecting graduation between December 2026 - June 2027.

Strong understanding of machine learning, deep learning, statistical modeling, or natural language processing.

Demonstrated experience in research (publication record at top AI / ML conferences strongly preferred).

Experience with Python required; familiarity with PyTorch / TensorFlow or A2A / MCP is beneficial.

Familiarity with data analysis tools and modern ML stacks (e.g., SQL, scikit-learn, Hugging Face, or cloud ML platforms).

Experience with LLMs including prompt / context-engineering, modern LLM APIs, fine-tuning models etc.

Strong analytical problem-solving skills, with ability to invent experiments and interpret results.

Excellent communication skills with the ability to explain technical results to non-technical collaborators.

Ability to participate in a full-time internship between May-September.

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 $45.00 $55.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.

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

There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.

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.

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 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.