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Apple

Senior ML Infrastructure Engineer, Proactive

Cupertino, CA$184,700 – $324,800Posted Oct 6, 2026

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Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

The Intelligence Platform team empowers clients across Apple's operating systems with high quality user-centric knowledge and inferences that enable next generation user experiences. We're a systems engineering team focused on building the platform which enables state of the art technologies like generative AI, graph machine learning, and private learning to be used by hundreds of teams across Apple. This platform plays a critical role in the OS, acting as a central nervous system that is responsible for receiving, processing, responding to, and remembering crucial information. We are looking for an accomplished and driven senior software engineer with a background in designing large systems around Machine Learning, Large Language Models, and Generative AI. Your primary role will be designing and building the platform for teams across Apple used to bring intelligence to their applications and services. Your ideas will power next generation features, and impact hundreds of millions of people worldwide in their daily lives!

Description

As a Senior Engineer on the Intelligence Platform Team, you'll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities. Your work will include: Collaborating with teams across Apple on training, qualifying, deploying, and serving models; designing and refining systems and APIs for Machine Learning and Generative AI; understanding and adapting new model architectures to constraints of their execution environments; working with leadership across Apple to define policy. You will be responsible for bringing industry leading research to hundreds of millions of people using Apple products every day.

Preferred Qualifications

Experience building production feature engineering pipelines a plus

Experience with distributed data systems a plus

Experience with macOS/iOS development is a plus

Minimum Qualifications

Excellent software design, problem solving and debugging skills

Background architecting and building data or machine learning platforms

Experience building on LLMs or other generative models

Proven ability to comprehend, interpret, and apply cutting-edge research into tangible applications.

Deep understanding of multi-threaded programming and synchronization.

Pay & Benefits

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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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