Lead Applied Researcher, Express AI Foundations

Adobe

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Work type
On-site
Location
San Jose, CASeattle, WA
Employment
Full-time
Posted
39 days ago
Freshness
Confirmed live today

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Similar $226k
$172k $296k
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About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 282 open roles on FindRole.

Listed pay typically runs $148,100–$282,100 across 76 roles with salary data.

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TL;DR · Lead Applied Researcher, Express AI Foundations

The Lead Applied Researcher, Express AI Foundations joins the AI Foundations team to drive innovation for Adobe Express. In this role, you will lead and mentor a small team of applied researchers, providing technical direction to build innovative machine learning models for Agentic and Generative AI scenarios. You will develop modular, reusable components for the Horizon AI Stack, contributing to foundational systems for layout automation, image generation, and motion storytelling. Key responsibilities include owning the ML lifecycle from prototyping to production deployment and implementing evaluation strategies using automated metrics and LLM-based judges. Required skills include proficiency in PyTorch, TensorFlow, or JAX, and experience with transformers, diffusion models, or GANs. You will solve complex engineering challenges to create scalable AI solutions for creative workflows.

What you'll do

  • Build machine learning models for Agentic and Generative AI scenarios within Adobe Express.
  • Lead and mentor a small team of applied researchers on technical direction and innovation.
  • Develop foundational AI systems for layout automation, image generation, and motion storytelling.
  • Design modular, reusable components that integrate with the Horizon AI Stack.
  • Own the full ML lifecycle from initial ideation and prototyping to evaluation and deployment.
  • Define and implement evaluation strategies using automated metrics, LLM judges, and user feedback.
  • Translate research ideas into production-ready capabilities through cross-functional collaboration.

What we're looking for

  • Master's or PhD in Computer Science, Computer Engineering, Data Science, Machine Learning, or a related field with equivalent experience.
  • 7+ years of industry experience in machine learning and product development related to AI.
  • Demonstrated experience mentoring or technically guiding other researchers or engineers.
  • Proficiency in ML frameworks such as PyTorch, TensorFlow, or JAX.
  • Experience with modern ML architectures including transformers, diffusion models, or GANs.
  • Experience with cloud platforms, MLOps, and deploying ML systems in production at scale.
  • Experience with Large Language Models and model adaptation techniques (preferred).
  • Publications in renowned ML/CV/AI conferences (preferred).

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