About the job
At Apple, we don’t just build products; we create experiences that enrich the lives of billions. You have the unique opportunity to seamlessly integrate foundational AI research with world-class hardware and software, bringing cutting-edge technology to billions of users. Your work will have a far-reaching impact, setting precedents for how autonomous, deeply personalized AI technologies enrich lives across our entire product ecosystem.
Responsibilities
Advance self-improving systems that learn from deployment signals, adapt over time, and optimize performance autonomously in real-world environments.
Design and operationalize agentic memory frameworks that enable long-horizon reasoning, contextual continuity, personalization, and durable knowledge across interactions.
Architect deeply personalized autonomous multi-agent systems capable of coordination, task decomposition, tool use, and dynamic collaboration to solve complex user problems.
Lead product-oriented research and rapid prototyping, translating foundational advances into validated user experiences and production-ready architectures.
Partner cross-functionally to influence platform strategy, define technical direction, and deliver scalable ML systems that integrate tightly across hardware, software, and services.
Qualifications
Minimum
MSc or PhD in Computer Science, Machine Learning, or related field; or equivalent practical experience delivering zero-to-one LLM productization.
Deep expertise in transformer-based LLMs and multi-modal foundation models, with a focus on integrating text, vision, and audio with cross-modal attention.
Hands-on mastery across the model lifecycle, including pre-training, fine-tuning, performance optimization, and safety alignment.
Expertise in designing AI agents for complex reasoning while navigating the unique challenges of on-device compute constraints.
Preferred
Demonstrated ability to influence high-level architecture decisions and effectively advocate for novel research directions to product leadership.