Agent Sciences and Infrastructure Engineer, AIML

Agent Sciences and Infrastructure Engineer, AIML

Cupertino, California, United States Machine Learning and AI

The Apple Intelligence Agents, Infrastructure, and Research team brings innovative AI research into Apple products, with a focus on optimizing, interpreting, and developing new algorithms for on-device and server-based Apple Foundation Models and Apple Intelligence features.

We are looking for talented engineers to build the infrastructure and agentic systems that are used to prototype, optimize, and ship Apple Intelligence features. You will join a collaborative team of software developers and applied scientists focused on large language modeling, agent harnesses, evaluation, and the pipelines that connect training, adaptation, and deployment. Successful candidates will bring a strong software and systems engineering background, hands‑on experience building ML or agent infrastructure end to end, and the judgment to make pragmatic tradeoffs between velocity and long‑term maintainability.

• Independently scope and lead complex, multi‑month engineering projects, from an ambiguous starting point through to a production system
• Proven ability to define goals and deliver results amid uncertainty and real‑world constraints in AI product development
• Experience designing, building, and operating infrastructure for machine learning - training/evaluation pipelines, data and experiment tooling, serving, or agent harnesses
• Strong software engineering fundamentals: distributed systems, APIs, testing, and reliable, maintainable code
• Strong Python and UNIX skills and a demonstrated ability to use agentic coding tools in these environments
• Proven track record of driving engineering efforts to completion while overcoming obstacles and ambiguity
• BS and 5+ years of experience, MS and 3+ years of experience, or PhD and 1+ year of experience

• Experience building agent frameworks, tool‑use systems, or LLM evaluation infrastructure
• Experience with data standardization, validation, and lineage for ML pipelines at scale
• Familiarity with post‑training or optimizing large language models (LLMs) and the workflows around them
• Experience shipping a real‑world product, project, or feature
• Experimental rigor and sound benchmarking/observability practices for complex systems
• Ability to reproduce and identify critical bottlenecks in the latest research and translate it into robust tooling
• Strong communication and accountability skills, with a collaborative mindset and strong work ethic

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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.