Applied Research Engineer/Scientist, Siri Labs

Summary

Join the team redefining what a deeply personal and integrated assistant can be.

As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.

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.

About the role

We are seeking an Applied Research Engineer to work on a core team with breakthrough innovation across self-improving systems, agentic memory, and deeply personalized autonomous multi-agent systems. You will help shape next-generation intelligent architectures that learn continuously, retain and reason over persistent memory, coordinate across agents, and translate frontier research into scalable product experiences. This unique opportunity places you at the forefront of innovation, working on projects that redefine user experiences through advanced machine learning.

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.
• Contribute to the design and development of deeply personalized autonomous multi-agent systems capable of coordination, task decomposition, tool use, and dynamic collaboration to solve complex user problems.
• Contribute to product-oriented research and rapid prototyping, translating foundational advances into validated user experiences and production-ready architectures.
• Influence platform strategy cross-functionally, assist in defining technical direction, and deliver scalable ML systems that integrate tightly across hardware, software, and services.

Minimum Qualifications

• Master's, or PhD in Computer Science, Machine Learning, or related technical field; or equivalent practical experience
• Experience with machine learning through hands-on work in product development, prototyping, or research environments

Strong programming skills with experience in machine learning development:

• Understanding of transformer-based models
• Ability to communicate technical concepts to team members
• Experience with prototyping in ML/AI contexts

Preferred Qualifications

• Knowledge of large language models (LLMs) and multi-modal 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 into practical applications
• Good collaborative skills and effective communication