Principal Applied Researcher

Adobe

Quick summary

Work type
On-site
Location
San JoseSeattle, WA
Salary
$268,000–$388,000 / yr
Posted
3 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k
This role $328k
$119k most similar roles pay here $417k

This role pays more than 99% of similar roles. Most pay $162,000–$236,900 — the shaded band above. At the midpoint, this role pays about $328k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

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 314 open roles on FindRole.

Listed pay typically runs $183,300–$265,350 across 314 roles with salary data.

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At a glance

TL;DR · Principal Applied Researcher

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As an Applied Researcher at the senior level on Adobe Express’s AI Foundations team, you will develop and deploy advanced machine learning models to enhance Agentic and Generative AI capabilities within the platform. Your daily tasks include crafting modular ML components that integrate into Adobe’s Horizon AI Stack, driving the end-to-end lifecycle of ML projects from experimentation to production deployment, and collaborating with cross-functional teams to bring innovative AI features to market. Proficiency in PyTorch, TensorFlow, or JAX is essential, along with experience in modern architectures like transformers and diffusion models. Ideal candidates have a background in creative technologies and are familiar with cloud platforms for MLOps. This role demands expertise in cutting-edge AI research and the ability to work effectively in a fast-paced environment, contributing to the future of creativity by solving complex engineering challenges at scale.

Skills

PyTorch TensorFlow JAX Transformers Diffusion Models GANs MLOps Cloud Platforms Large Language Models PEFT SFT RL Agent-Based Systems Intelligent Assistants Planner-Based AI Creative Imaging Multimedia Domains

What you'll do

  • Build innovative machine learning models for Agentic and Generative AI in Adobe Express.
  • Develop advanced ML models in computer vision, NLP, and multimodal learning areas.
  • Design modular ML components that integrate into Adobe’s Horizon AI Stack.
  • Drive the end-to-end ML lifecycle from experimentation to production deployment.
  • Contribute to foundational AI systems for intelligent assistance and layout automation.

What we're looking for

  • PhD in Computer Science or related field with strong programming skills.
  • Experience with ML frameworks like PyTorch, TensorFlow, and JAX.
  • Proficiency in modern ML architectures including transformers and diffusion models.
  • Expertise in deploying ML systems at scale using cloud platforms and MLOps.
  • Ability to quickly understand and prototype research papers in AI/ML.
  • Familiarity with agent-based systems and model adaptation techniques preferred.

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