About this role
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.
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.
Minimum Qualifications
Bachelor's, 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