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
- 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.
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 accommodations@adobe.com or call +1 408-536-3015.
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 $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.