Staff Applied Scientist, 3D Synthetic Data

Adobe

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

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Similar $216k
$152k $280k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $180,750–$252,050.

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 Synthetic Data

The Staff Applied Scientist - 3D Synthetic Data joins the Applied Science & Machine Learning organization to build next-generation multimodal foundation models. This role involves developing large-scale pipelines for generating, curating, and validating 3D and 4D assets, as well as creating simulation-based data generation systems using game engines. You will build agentic workflows to manipulate and refine content while designing infrastructure for procedural asset creation, motion synthesis, and interactive content generation. Key technical requirements include proficiency in Python and C++, experience with engines like Unreal Engine, Unity, or Blender, and knowledge of meshes, textures, skeletal animation, and physics metadata. The work focuses on solving technical challenges in 3D/4D content generation, simulation-driven creation, and scalable data pipelines to power future multimodal AI systems.

What does a Applied Scientist earn?

Median $208800 from 61 postings across 10 companies.

See salary data

What you'll do

  • Develop large-scale pipelines for generating, curating, and validating 3D and 4D assets for foundation model training.
  • Build simulation-based data generation systems using game engines and digital environments.
  • Create agentic workflows to automate the creation, manipulation, repair, and evaluation of 3D and 4D content.
  • Design and implement integration pipelines for meshes, materials, textures, rigs, and physics metadata.
  • Build tools and infrastructure for procedural asset creation, animation generation, and motion synthesis.
  • Establish software development patterns to scale up synthetic data generation.

What we're looking for

  • BS, MS, or PhD in Computer Science, AI/ML, Computer Graphics, Robotics, Game Development, or related fields.
  • Strong programming skills in Python and C++ for building production quality software.
  • Experience with game engines or 3D engines such as Unreal Engine, Unity, Blender, CARLA, Isaac Sim, Omniverse, or similar systems.
  • Experience building scalable 3D data pipelines for ingestion, transformation, validation, export, and quality control.
  • Strong working knowledge of 3D content systems including meshes, materials, textures, scene structure, cameras, lighting, and skeletal animation.
  • Experience with procedural generation for assets, scenes, environments, characters, or simulation scenarios.
  • Experience building agentic systems or LLM based workflows for automation (preferred).
  • Experience with video generation, multimodal foundation models, diffusion models, or generative models for 3D/4D content (preferred).

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