Technical Creative Director, Generative Imagery Systems

At Apple extraordinary ideas become products services and experiences that shape culture. Bring passion and precision to your craft and theres no limit to what you can Content Design team supports Apple Services products and defines the content experience across some of Apples most visible products. We focus on how people consume create and connect across all our looking for a Technical Creative Director Generative Imagery Systems to lead work at the intersection of generative AI visual craft and product storytelling. This role will help define what AI-made visual media looks like when its held to Apples standard of quality intentionality and shape both the what and the how of generative visuals at Apple working alongside Design ML/AI Marketing and Engineering teams across photorealism illustration motion texture spatial media and formats that dont exist yet. You come from a technical or computational background but think like an artist and communicate like a creative leader. You thrive in deeply collaborative environments where the best outcome comes from combining perspectives not working in isolation. This is a rare opportunity to help define a creative discipline at the moment its being born inside a company where craft and intentionality arent aspirations but requirements.

As Technical Creative Director of Generative Imagery Systems you will:nnCo-develop the creative direction for how generative AI produces imagery worthy of Apples in-product experience working with Design and Product teams to align on visual modes styles and quality benchmarksnLead and collaborate with generative artists creative technologists tool developers and generative systems designers across projects that require tight cross-functional coordinationnPartner with Engineering and tool development teams to build creative pipelines that allow generative work to be produced at scale with consistency quality control and stylistic precisionnCo-create evaluation frameworks with Design ML/AI and QA partners that codify what good looks like for AI-generated imagery and build shared systems to measure and enforce itnExplore new formats and applications alongside product and platform teams charting where generative imagery goes next across spatial computing interactive experiences and emerging platformsnCollaborate with policy legal and ethics partners to develop standards for responsible generative creative including provenance bias and representationnAlign generative creative strategy with teams across Design ML/AI Marketing and Engineering through ongoing partnership and shared planningnWork with sibling content teams to build bridges between sourced captured and generated imagery ensuring a coherent creative ecosystem

Deep hands-on fluency with generative models (diffusion transformer-based synthesis procedural systems or related architectures) and practical understanding of how model architecture training data and parameter choices manifest in visual outcomesnExperience building or directing creative tools custom pipelines or production workflows that harness ML/AI for visual output at scale including control mechanisms fine-tuning methods and reproducibility infrastructurenKnowledge of inference and deployment considerations: compute tradeoffs optimization techniques and how they constrain or enable creative decisionsnExperience designing evaluation systems for generated imagery whether quantitative metrics structured human review or bothnA refined visual eye and a body of work that demonstrates taste craft and a point of view in any format (portfolio generative art research tools experimental projects)nExperience building teams or practices from zero in ambiguous emerging spaces with a track record of bringing cross-functional partners along from the startnAbility to translate technical possibilities into creative direction that non-technical partners can rally around and contribute tonA deep sense of responsibility about the ethical cultural and societal implications of generated imagery

A point of view on where generative imagery is headed in 3-5 years and the conviction to make betsnBackground in adjacent fields: VFX pipelines computational photography real-time rendering creative coding or technical art directionnDirect experience training models or contributing to model development not just using existing toolsnUnderstanding of data provenance rights-cleared training and responsible model infrastructurenExposure to emerging areas: video generation at scale 3D asset generation spatial/volumetric content or audio-visual synthesisnA history of thriving in matrixed cross-functional environments where influence matters more than authority