Role at a glance
- Job function
-
AI & Data AI Research & Applied Science
- Salary
- $184.7K – $324.8K/yr
- Location
- Cupertino, California, United States
- Experience
- Experience with machine learning through hands-on work in product development, prototyping, or research environments
- Education
- Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or related technical field; or equivalent practical experience
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Role Summary
This Applied Research Engineer/Scientist role is on a core team within the Siri organization, working on self-improving systems, agentic memory, and deeply personalized autonomous multi-agent systems. The role focuses on translating frontier research into scalable product experiences.
What You'll Do
- Advance self-improving systems that learn from deployment signals, adapt over time, and optimize performance autonomously in real-world...
- Design and operationalize agentic memory frameworks that enable long-horizon reasoning, contextual continuity, personalization, and...
- Contribute to the design and development of deeply personalized autonomous multi-agent systems capable of coordination, task...
- Contribute to product-oriented research and rapid prototyping, translating foundational advances into validated user experiences and...
- Influence platform strategy cross-functionally, assist in defining technical direction, and deliver scalable ML systems that integrate...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
A CS, ML, or related technical degree or equivalent practical experience, with hands-on ML experience and strong programming skills.
Required
- 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
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
Description
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
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
Pay & Benefits — Cupertino, California, United States
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Application Deadline
Apple accepts applications to this posting on an ongoing basis.
About the company
Apple
Large Enterprise
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.