Computational Photography jobs

• Location: Vancouver
• State: British Columbia
• Country: Canada

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At EA, we believe games are powerful because they bring together multiple ways people engage: play, watch, create, and connect. And increasingly, the biggest entertainment platforms aren't just places to consume content - they're places where communities build.

Creator-made content is already a proven part of EA's history - from community creation tools in Battlefield to The Gallery in The Sims 4. We believe new creative technologies and tools will expand how players engage with and contribute to our experiences, supported by thoughtful product design, safety systems, and global reach. Our focus is on enabling more players to participate in creative expression by making creation easier, safer, and more rewarding.

As a Technical Artist, you will operate at the intersection of art, game technology, and machine learning data. You will develop workflows that extract, organize, normalize, and validate structured assets and world information from EA content pipelines for use in research.

You will bring an end-to-end understanding of how game assets are authored, assembled, transformed, and rendered. You will partner with artists, engineers, and researchers to preserve the relationships and semantics that make extracted content useful for neural motion, world models, neural rendering, and environment or level-layout research.

This is a hybrid role, working three days per week in Redwood City, Montreal, or Vancouver.

You will report to the Lead Technical Director.

Responsibilities:

• You will design and implement workflows to extract meshes, materials, textures, rigs, animation, levels, prefabs, and related metadata from game content pipelines.

• You will preserve scene hierarchy, transforms, dependencies, variants, coordinate systems, units, and other relationships required to reconstruct content correctly.
• You will extract and organize world information such as collision, navigation, cameras, lighting, environmental settings, and level composition.
• You will define representations and interchange formats that make game assets usable by machine learning and research workflows.
• You will build automated validation that confirms extracted assets and scenes maintain expected visual, structural, and technical fidelity.
• You will connect asset and world data to relevant source, build, scene, and capture metadata so researchers can understand provenance and context.
• You will identify third-party, licensed, sensitive, or otherwise restricted content and support appropriate filtering and handling.
• You will partner with infrastructure and data teams to organize extracted content within established storage and discovery systems.

• You will collaborate with researchers across neural motion, world models, neural rendering, and environment generation to turn repeated needs into reusable workflows.

Qualifications:

• 7+ years of technical art, content-pipeline, tools, or related game-development experience, including experience on AAA titles

• Strong understanding of end-to-end game art and content production pipelines
• Experience with 3D asset formats, scene graphs, materials, textures, rigs, animation, level data, and coordinate-system transformations
• Experience with major engines such as Frostbite, Unreal, Unity, or proprietary technology
• Proficiency with Python or another scripting language used for content-pipeline automation
• Experience developing or extending DCC, engine, or asset-processing tools
• Experience validating visual and technical fidelity across asset conversions or pipeline stages

• Familiarity with machine learning data requirements, neural rendering, motion systems, world models, or procedural world-building is beneficial

  
  

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