2026 AI/ML Intern - Machine 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!

 

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

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.

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.