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2026 AI/ML Intern - Machine Learning Engineer

Adobe
San Jose, United StatesRemotefull_timeVerifiedPosted 7 May 2026
💰 $110,000/yr($90,000/yr$110,000/yr)

About the role

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, f