2026 University Graduate - Applied Researcher

Adobe • San Jose, CA

11d

About The Position

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! The Opportunity 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! What You'll Do 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.

Requirements

• Masters , or PhD (preferred) in Computer Science, Computer Engineering, Data Science, Machine Learning, or a related field with equivalent experience.
• Strong programming skills and proficiency in ML frameworks such as PyTorch , TensorFlow, or JAX.
• Experience with modern ML architectures including transformers / visual transformers , diffusion models, or GANs.
• Experience with cloud platforms, MLOps and deploying ML systems in production at scale.
• Be able to quickly read, understand and prototype relevant research papers.
• Passion for creativity and learning with a drive to improve solutions.
• Be up to date with the latest and greatest in AI Research.
• Comfortable working in a fast, iterative and ambiguous environment.
• Strong communication skills with the ability to explain technical ideas and experiment results clearly.
• Collaborative spirit with a focus on product impact, AI / ML innovation and engineering excellence.

Nice To Haves

• Experience with Large Language Models and model adaptation techniques (Ex: PEFT, SFT, RL etc.)
• Familiarity with agent-based systems, intelligent assistants, or planner-based AI.
• Experience in creative, imaging, or multimedia domains.
• Publications in renowned ML/CV/AI conferences (e.g., NeurIPS , CVPR, ICML, SIGGRAPH).

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
• Number of Employees: 5,001-10,000 employees