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.
Basic Qualifications
- 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.
Preferred Qualifications
- 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).
What You Need to Succeed
- 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.
