2026 AI/ML Intern - Applied Research

Adobe Systems Incorporated • San Jose, CA

40d • $45 - $61

About The Position

Adobe Express empowers users to seamlessly construct striking designs, whether they are novices or experienced engineers, on a user-friendly platform improved by groundbreaking AI capabilities. The AI Foundations team sits at the core of this vision, driving innovation to make Adobe Express smarter, faster, and more adaptive! By developing modular, reusable AI systems and crafting a robust Horizon AI Stack, this team will play a pivotal role in transforming creative workflows. Joining this team means crafting the future of creativity, solving complex engineering challenges, and delivering scalable AI solutions that redefine what is possible in design!

Requirements

• Currently enrolled full time and pursuing a Master's or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2026 - June 2027
• Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.
• Proficient in one or more programming languages such as Python, Java and C
• Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn
• Strong analytical and quantitative problem-solving ability.
• Excellent communication, relationship skills and a team player
• Ability to participate in a full-time internship between May-September

Responsibilities

• Build innovative machine learning models that drive Agentic and other Generative AI scenarios for Adobe Express.
• Develop and deploy advanced ML models in areas such as computer vision, NLP, and multimodal learning.
• Contribute to foundational AI systems for intelligent assistance, layout automation, image generation, and motion storytelling.
• Design and build modular ML components that integrate into Adobe's Horizon AI Stack and serve multiple creative workflows.
• Drive the end-to-end ML lifecycle-from experimentation to evaluation, optimization, and production deployment.
• Collaborate closely with Adobe Research, engineering, and product teams to bring AI-powered features to life.
• Design evaluation strategies using a combination of automated metrics, LLM based judges, and user feedback.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Industry: Publishing Industries
• Number of Employees: 5,001-10,000 employees