Staff Applied Scientist, 3D

Adobe

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

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How this pay compares to similar roles

Similar $208k
$148k $265k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $177,250–$237,987.

Based on 240 similar postings.

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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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At a glance

TL;DR · Staff Applied Scientist, 3D

JOB TITLE: Staff Applied Scientist, 3D - Firefly Foundry As a Staff Applied Scientist, you will join a team of applied researchers and engineers to build the future of digital experiences by innovating across the full training stack. You will develop novel generative models and pipelines for mesh generation, physically based materials, scene reconstruction, and animation. Your daily work involves building agentic workflows to manipulate 3D and 4D content, developing large-scale synthetic data pipelines using game and rendering engines, and implementing advanced techniques for conditional generation. You will utilize Python, PyTorch, and modern ML frameworks to translate research into production-ready implementations. The role focuses on solving technical challenges in pre-training multi-modality generative models to create dynamic, physically accurate 3D worlds for media, entertainment, and high-fidelity product imagery.

What does a Applied Scientist earn?

Median $208800 from 61 postings across 10 companies.

See salary data

What you'll do

  • Build generative models and pipelines for 3D mesh, material, texture, and scene reconstruction.
  • Create agentic workflows to manipulate, repair, annotate, and refine 3D and 4D content.
  • Develop large-scale synthetic data pipelines using game engines and 3D geometry.
  • Implement and evaluate advanced techniques for conditional generation and instruction compliance.
  • Develop and maintain robust evaluation pipelines for model quality, efficiency, and safety.
  • Translate research concepts into production-ready implementations using Python and ML frameworks.

What we're looking for

  • Ph.D. or MS in Computer Science, Machine Learning, Computer Graphics, 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.
  • Experience with diffusion models, transformers, or other state-of-the-art generative architectures.
  • Strong working knowledge of 3D content systems including meshes, materials, textures, lighting, and skeletal animation.
  • 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 (preferred).

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