Technical Artist - Asset & World Data Systems

We are seeking a Technical Artist to join our team at Electronic Arts. 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.

Responsibilities:

• Design and implement workflows to extract meshes, materials, textures, rigs, animation, levels, prefabs, and related metadata from game content pipelines.
• Preserve scene hierarchy, transforms, dependencies, variants, coordinate systems, units, and other relationships required to reconstruct content correctly.
• Extract and organize world information such as collision, navigation, cameras, lighting, environmental settings, and level composition.
• Define representations and interchange formats that make game assets usable by machine learning and research workflows.
• Build automated validation that confirms extracted assets and scenes maintain expected visual, structural, and technical fidelity.
• Connect asset and world data to relevant source, build, scene, and capture metadata so researchers can understand provenance and context.
• Identify third-party, licensed, sensitive, or otherwise restricted content and support appropriate filtering and handling.
• Partner with infrastructure and data teams to organize extracted content within established storage and discovery systems.
• 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.