Principal Applied Research Engineer/Scientist, Siri Labs
Core
Designing next-generation intelligent architectures for a deeply personal AI assistant, focusing on self-improving systems, agentic memory, and autonomous multi-agent coordination.
Role type
Principal Applied Research Engineer (AI Agents & Multi-modal Systems)
Builds
Self-improving AI systems, agentic memory frameworks, and autonomous multi-agent architectures for Apple Intelligence.
Domain
Consumer AI / Machine Learning / Multi-modal Systems
Deliverable
production ML models
Required skills
Transformer-based LLMs, multi-modal foundation models, model lifecycle management (pre-training, fine-tuning, optimization), AI agent design, on-device compute optimization
Preferred skills
High-level architecture decision making, novel research direction advocacy
Technologies
LLMs, multi-modal models, cross-modal attention
Responsibilities
Advance self-improving systems that learn from deployment signals; Design agentic memory frameworks for long-horizon reasoning; Architect autonomous multi-agent systems for task decomposition and collaboration; Lead product-oriented research and rapid prototyping; Partner cross-functionally to define technical direction and deliver scalable ML systems.
Seniority
Principal, hands-on IC with strategic influence
