The Opportunity at Adobe, we’re reimagining how businesses connect with their customers — and we want you to be part of it. As a** Machine Learning Engineer Interns** on the Digital Experience team, you’ll apply innovative AI and ML techniques to power next-generation marketing, personalization, and decisioning systems. You’ll collaborate closely with engineers, and product managers to build intelligent, autonomous products that shape how brands understand and engage their audiences. This internship is fast-paced, creative, and high-impact — with opportunities to contribute to **real-world AI products **used by millions. Many of our past interns have seen their work integrated into production systems at Adobe.
What You’ll Do
- Advance Adobe AI: Push the boundaries of Adobe’s AI solutions by improving model performance or building high-impact AI products for marketing, personalization, and customer experience.
- Build, Scale, and Deploy ML Systems: Design, develop, and scale applications powered by predictive and generative models — including multimodal autonomous agents and agentic workflows, predictive recommendation and personalization models for adaptive, collaborative decision-making,
- Operationalize ML: Apply ML and GenAI Ops guidelines to create scalable, reliable, and efficient AI/ML workflows.
- Own the End-to-End Lifecycle: Contribute to architecture, experimentation, deployment, and production operations.
- Shape Model Strategy: Analyze data and model performance to recommend the right algorithms, evaluation metrics, and governance approaches.
- Collaborate and Innovate: Partner across research and engineering teams to translate innovative ideas into production-ready solutions.
What You’ll Bring
- Enrolled in a Bachelor’s, Master’s or PhD program in Computer Science, Applied Mathematics, Statistics, or a related STEM field
- Experience or research in one or more of the following: LLMs, NLP/NLU, Computer Vision, Information Retrieval, Context Engineering, ML Architecture, Optimization, Agent Systems, or Runtime Performance.
- Strong foundation in statistical modeling, machine learning, and data analytics, with hands-on experience solving real-world problems.
- Experience building or scaling data pipelines or ML systems.
- Familiarity or interest in Agent Orchestration and A2A communication frameworks is a plus.
- Proficiency in Python, Scala, Java, or SQL.
- Hands-on experience with ML frameworks such as Hugging Face, Ray, scikit-learn, SparkML, TensorFlow, or PyTorch.
- Excellent communication, collaboration, and problem-solving skills.
Why Adobe
At Adobe, you’ll work alongside passionate innovators who are shaping the future of creativity, marketing, and analytics. Gain hands-on experience with production-scale AI systems, receive mentorship from industry experts, and make impactful contributions. Join us and help redefine what’s possible with AI in the marketing and personalization business.
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.