Principal 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.

Minimum Qualifications

MSc or PhD in Computer Science, Machine Learning, or related field; or equivalent practical experience delivering zero-to-one LLM productization. Deep expertise in transformer-based LLMs and multi-modal foundation models, with a focus on integrating text, vision, and audio with cross-modal attention. Hands-on mastery across the model lifecycle, including pre-training, fine-tuning, performance optimization, and safety alignment. Expertise in designing AI agents for complex reasoning while navigating the unique challenges of on-device compute constraints.

Preferred Qualifications

Demonstrated ability to influence high-level architecture decisions and effectively advocate for novel research directions to product leadership.

Description

We are seeking a Principal Applied Research Engineer to drive breakthrough innovation across self-improving systems, agentic memory, and deeply personalized autonomous multi-agent systems. You will 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. Architect deeply personalized autonomous multi-agent systems capable of coordination, task decomposition, tool use, and dynamic collaboration to solve complex user problems. Lead product-oriented research and rapid prototyping, translating foundational advances into validated user experiences and production-ready architectures. Partner cross-functionally to influence platform strategy, define technical direction, and deliver scalable ML systems that integrate tightly across hardware, software, and services.