Marcom AI/ML Solutions Architect, Retail Engineering
Marcom is the creatively-led global team that oversees Apple's global consumer marketing, ensuring flawless execution of world-class communications that reach hundreds of millions of customers daily across all platforms. As Marcom's technology arm, Marcom Platforms & Services (MP&S) is an IS&T team specializing in advertising, marketing, production, social, and operations technology capabilities. We bridge creative storytelling with technical excellence, enabling seamless consumer experiences across owned and partner channels. Marcom and MP&S are working cross-functionally to build the future of marketing communications through innovative solutions.
Description
As a technical leader, you will drive AI/ML innovation across the Marketing landscape at Apple. You'll partner with engineering teams, product managers, designers, data scientists, and business stakeholders to identify transformational AI opportunities and architect solutions that scale from proof-of-concept to production systems impacting billions of users who interface with Apple.
Want more jobs like this?
Get jobs in Sunnyvale, CA delivered to your inbox every week.
The ideal candidate is a seasoned technical leader who excels at cross-functional influence and can set technical direction for reimagining Marcom's workflows and content generation across Copy, Image, Motion, and UI. You'll define best practices, drive architectural decisions, and contribute to the technical roadmap for how Apple reimagines marketing, advertising, and social media through the lens of AI/ML. This role requires both hands-on technical depth and the ability to lead through influence, raising the bar for engineering excellence while mentoring teams across the organization to support AI adoption.
Preferred Qualifications
Ph.D. in Computer Science, Machine Learning, Computer Vision, or related field
Experience with cloud AI platforms (GCP Vertex AI, AWS Bedrock, Azure ML) or equivalent large-scale ML infrastructure
Knowledge of AI alignment and fine-tuning strategies; such as, Reinforcement Learning from Human Feedback (RLHF), RLAIF (Reinforcement Learning from AI Feedback), DPO (Direct Preference Optimization) and beyond
Familiarity with 3D generation, NeRF, or spatial computing technologies
Experience with multimodal AI systems that combine text, image, video, and audio
Minimum Qualifications
Bachelor's degree in Computer Science, AI, Machine Learning, or related field, or equivalent industry experience with demonstrated impact in production AI systems
12+ years of experience designing, building, and scaling systems for training, testing, and deploying Machine Learning models in production environments
Deep experience in Generative AI for creative content creation, including diffusion models for image/video generation and large language models for copy generation
Proven expertise with diffusion models such as Stable Diffusion, DALL-E, Midjourney, or similar platforms, with hands-on implementation experience
Experience designing and implementing agentic workflows using orchestration frameworks (e.g., LangGraph, LangChain, CrewAI, AutoGen, or similar tools)
Demonstrated ability to drive innovation in AI/ML, evidenced by one or more of the following:
Publications in top-tier venues such as (CVPR, ICML, ICLR, NeurIPS, ACL, EMNLP, etc.)
Significant contributions to open-source AI/ML projects
Patents or technical blog posts demonstrating novel approaches
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
Company Videos
Hear directly from employees about what it is like to work at Apple.