Role at a glance
- Job function
-
AI & Data AI Research & Applied Science
- Salary
- $216.2K – $394K/yr
- Location
- Cupertino, California, United States Seattle, Washington, United States
- Experience
- Senior Level Minimum Qualifications PhD in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), with a focus on computer vision and/or machine learning or comparable professional experience. Strong ML and Generative Modeling fundamentals. Hands-on experience in one or more of the following areas: pre-training or post-training of large language models, and reinforcement learning. Familiarity with distributed training. Proficiency in using ML toolkits, e.g., PyTorch Proven track record of research contributions demonstrated through publications in top-tier conferences, or open source contributions to algorithm. Preferred Qualifications Experience with building & deploying Multimodal-LLMs Experience building and deploying agentic systems and LLMs with tool-use and memory capabilities
- Education
- PhD in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), with a focus on...
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Role Summary
This research engineering role develops post-training methodologies for personalized intelligence, working across large language models, multimodal reasoning, personalization, and agentic systems. It translates emerging research into scalable experiences and partners with system engineers to prototype and incorporate algorithmic innovations.
What You'll Do
- Drive research in post-training methodologies that help models understand individual user needs, adapt to personal context, and deliver...
- Work at the intersection of large language models, multimodal reasoning, personalization, and agentic systems to translate emerging...
- Partner with system engineers to prototype and incorporate algorithmic innovations for emerging agentic experiences.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
The posting seeks expertise in algorithm development for prompt optimization and post-training; strong ML and generative modeling fundamentals; reinforcement learning, multimodal reasoning, context compaction, efficiency, and memory systems; familiarity with distributed training; proficiency with ML toolkits such as PyTorch; and research contributions through top-tier publications or open-source algorithm contributions.
Required
- PhD in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), focused on computer...
- Strong ML and generative modeling fundamentals.
- Hands-on experience in one or more of pre-training or post-training of large language models, and reinforcement learning.
- Familiarity with distributed training.
- Proficiency using ML toolkits such as PyTorch.
- Research contributions demonstrated through publications in top-tier conferences or open-source contributions to algorithm.
Preferred
- Experience building and deploying Multimodal-LLMs.
- Experience building and deploying agentic systems and LLMs with tool-use and memory capabilities.
- Ability to interface with large-scale modeling and data infrastructure.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Summary
Do you believe generative models can transform creative workflows and smart assistants used by billions of people? Do you envision a future where AI fundamentally reshapes how people interact with their devices and communicate, delivering experiences personalized to their unique needs and preferences? We are part of Apple’s Intelligent System Experience team, where we develop core modeling technologies that translate cutting-edge research into compelling user experiences. Our work spans Apple Intelligence initiatives, including Personalization, Agentic Search, Generative Memories, Visual Generation, and more.
Description
We are seeking a Staff Research Engineer with a strong track record in developing novel algorithms for LLM post-training to advance personalized intelligence. In this role, you will drive research in post-training methodologies that enable models to better understand individual user needs, adapt to personal context, and deliver more relevant, helpful, and personalized experiences. You will work at the intersection of large language models, multimodal reasoning, personalization, and agentic systems, translating emerging research into scalable, high-quality experiences.
Key attributes expected in the role is fluency in algorithm development (prompt optimization and post training), and strong expertise with relevant techniques (reinforcement learning, multimodal reasoning, context compaction / efficiency & memory systems). The role includes the opportunity to partner with world class system engineers to prototype and incorporate bleeding edge algorithmic innovations in the context of emerging agentic experiences. Ability to interface with large scale modeling & data infrastructure is a huge plus.
Minimum Qualifications
PhD in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), with a focus on computer vision and/or machine learning or comparable professional experience.
Strong ML and Generative Modeling fundamentals.
Hands-on experience in one or more of the following areas: pre-training or post-training of large language models, and reinforcement learning.
Familiarity with distributed training.
Proficiency in using ML toolkits, e.g., PyTorch
Proven track record of research contributions demonstrated through publications in top-tier conferences, or open source contributions to algorithm.
Preferred Qualifications
Experience with building & deploying Multimodal-LLMs
Experience building and deploying agentic systems and LLMs with tool-use and memory capabilities
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 $216,200 and $394,000, 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.
Pay & Benefits — Seattle, Washington, 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 $205,400 and $374,300, 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.
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.