Agent Sciences and Infrastructure Engineer, AIML
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.
Description
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.
Preferred Qualifications
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
Minimum Qualifications
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
Pay & Benefits
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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.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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