Staff Applied Scientist

Adobe

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Quick summary

Work type
On-site
Location
San Jose, CASan Francisco, CASeattle, WALos Angeles, CA
Employment
Full-time
Posted
39 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $210k
$149k $274k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $177,287–$241,906.

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 282 open roles on FindRole.

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

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At a glance

TL;DR · Staff Applied Scientist

As a Staff Applied Scientist in the Firefly Foundry team, you will join a world-class group of researchers and engineers to build the future of digital experiences. You will conduct innovative research and development to train large-scale generative AI models for image and video synthesis. Your daily responsibilities include developing and evaluating advanced techniques for conditional generation and editing to improve instruction compliance, controllability, and visual quality. You will translate research concepts into production-ready implementations using Python, PyTorch, and modern ML infrastructure tools. The role requires expertise in diffusion models, transformers, and synthetic data generation. You will solve complex technical problems by developing robust evaluation pipelines and collaborating cross-functionally to translate multimodal innovations into scalable downstream applications within Adobe products.

What does a Applied Scientist earn?

Median $208800 from 61 postings across 10 companies.

See salary data

What you'll do

  • Conduct research and development to train large-scale generative AI models for image and video synthesis.
  • Develop and implement advanced techniques for conditional generation, instruction compliance, and visual quality.
  • Build and maintain robust evaluation pipelines to assess model quality, efficiency, robustness, and safety.
  • Translate research concepts and published work into production-ready implementations using Python and ML frameworks.
  • Implement multimodal innovations into scalable downstream applications within Adobe products.
  • Manage technology transfers from research and development to product teams.

What we're looking for

  • Ph.D. or MS in Computer Science, Machine Learning, or a related field.
  • 8+ years of industry experience.
  • Extensive practical experience in large-scale generative AI training for image and video generation and editing.
  • Familiarity with diffusion models, transformers, or other state-of-the-art generative architectures.
  • Strong coding and prototyping skills in Python, PyTorch, and ML infrastructure tools.
  • Strong publication record in Computer Science, AI/ML, or related fields.
  • Experience working with product teams on technology transfers.
  • Experience with synthetic data generation (preferred).

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