Applied Research Engineer/Scientist

Apple • Cupertino, CA

3h

About The Position

Join the Siri organization to help shape Apple’s AI assistant, powered by Apple Intelligence and designed with privacy from the ground up. The role contributes to experiences across iOS, iPadOS, macOS, watchOS, and visionOS, integrating foundational AI research with Apple hardware and software.

As part of a core team, you will work on innovation in self-improving systems, agentic memory, and deeply personalized autonomous multi-agent systems. You will help develop intelligent architectures that learn continuously, retain and reason over persistent memory, coordinate across agents, and turn frontier research into scalable product experiences.

Requirements

• Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
• Hands-on machine learning experience in product development, prototyping, or research environments.
• Strong programming skills and experience in machine learning development.
• Understanding of transformer-based models.
• Ability to communicate technical concepts to team members.
• Experience prototyping in ML/AI contexts.

Nice To Haves

• Knowledge of large language models (LLMs) and multimodal foundation models.
• Experience with pre-training, fine-tuning, or performance optimization.
• Familiarity with AI systems capable of reasoning and task execution.
• Creativity and curiosity about applying AI capabilities to product experiences.
• Ability to implement research innovations in practical applications.
• Good collaboration skills and effective communication.

Responsibilities

• Work on a core team advancing self-improving systems, agentic memory, and deeply personalized autonomous multi-agent systems.
• Help shape intelligent architectures that learn continuously, retain and reason over persistent memory, and coordinate across agents.
• Translate frontier research into scalable product experiences.
• Develop technology that improves user experiences through advanced machine learning.

What This Job Offers

• Job Type: Full-time