senior machine learning Research Scientist ic · Posted May 13, 2026
$206,300 – $388,000
USD per year

About this role

Adobe is hiring a senior-level Research Scientist in the machine learning function based in San Jose, CA. The posting calls out experience with Express, TensorFlow, PyTorch, LLMs. Compensation is listed at $206,300–$388,000 per year.

Role
Research Scientist
Function
machine learning
Level
senior
Track
Individual contributor
Employment
Full-time
Location
San Jose, CA
Department
Engineering and Product
Posted
May 13, 2026

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Job description

from Adobe careers

Applied Researcher, AI Foundations- Adobe Express

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.
  • This is an excerpt. Read the full job description on Adobe careers →
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