Principal AI Researcher — Self-Improving & Personalization

Apple, Inc.; Cupertino (CA); In loco; USD 216.000 - 394.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical and dental coverage

Retirement benefits

Stock programs for employees

Tuition reimbursement

Relocation assistance

Descrizione del lavoro

Apple, Inc. seeks a Principal Applied Research Engineer/Scientist for Siri Labs in Cupertino, CA. You will drive breakthrough AI that powers a deeply personalized, private Siri experience across Apple devices, integrating advanced ML with hardware and software ecosystems.

You will shape architectures that learn continuously, reason with persistent memory, and coordinate multi-agent systems while shipping production-ready ML solutions across iOS, iPadOS, macOS, watchOS and visionOS.

Competenze

• Deep expertise in transformer-based LLMs and multi-modal models.
• Experience with on-device compute constraints and model optimization.
• Strong background in AI agents for complex reasoning.
• Hands-on experience across model lifecycle: pre-training, fine-tuning, safety.

Mansioni

• Advance self-improving systems that learn from deployment signals.
• Design agentic memory for long-horizon reasoning and personalization.
• Architect autonomous multi-agent systems with coordination and tool use.
• Lead research translating advances into production-ready ML systems.
• Collaborate cross-functionally to align platform strategy and direction.

Conoscenze

Transformer-based LLMs

Multi-modal models

On-device AI

Continual learning

Formazione

MSc/PhD in CS or ML

Descrizione del lavoro

Apple, Inc. seeks a Principal Applied Research Engineer/Scientist for Siri Labs in Cupertino, CA. You will drive breakthrough AI that powers a deeply personalized, private Siri experience across Apple devices, integrating advanced ML with hardware and software ecosystems.

You will shape architectures that learn continuously, reason with persistent memory, and coordinate multi-agent systems while shipping production-ready ML solutions across iOS, iPadOS, macOS, watchOS and visionOS.