AIML - Core Infrastructure Engineering, Machine Learning Platform & Infrastructure

Apple • Cupertino, California, United States • 6d ago

Posted: Jan 16, 2025

Weekly Hours: 40

Role Number:200587179

Do you want to make Siri and Apple products smarter for our users? The AIML Search Infra team is looking for an experienced backend engineer to join our team working on search infrastructure. You will lead the development of innovative, scalable backend systems that power AI driven applications and services across Apple's ecosystem. You will collaborate with other machine learning and backend engineers to implement scalable solutions to solve sophisticated challenges in a constantly evolving space.

Description

Our team designs and builds the infrastructures that power Siri and other Apple products, enabling intelligent search experiences for billions of users. We process vast amounts of data, including trillions of links, to surface the most relevant content. Our systems extract features for indexing, ranking, and retrieval, applying statistical analysis to improve link selection, freshness, and quality of results. In this role, you'll have the opportunity to help evolve the backend systems that make Siri smarter, improving search accuracy and user experience across a range of Apple services. The work is fast-paced, challenging, and directly impacts the way users interact with Apple devices on a global scale. Your work will directly impact the performance and capabilities of Apple's AI products, from Siri to Search and beyond.

Minimum Qualifications

BS, MS, or Ph.D. in Computer Science, Engineering, or a related field, or equivalent experience.
Strong coding skills in C++ or Swift with experience in backend development and performance optimization.
Strong understanding of computer science fundamentals, including algorithms, data structures, and software design principles.
Proven experience in backend development, code performance tuning, and testing.
Solid understanding of cloud services (e.g., AWS, GCP, Apple Clouds) and containerization with Kubernetes.

Key Qualifications

Preferred Qualifications

Experience with cluster setup/management, monitoring, and logging is a plus.
Excellent interpersonal skills with the ability to work both independently and as part of a collaborative team.
Experience with RAG (Retrieval-Augmented Generation) systems or similar AI-powered backend technologies is highly desirable.

Education & Experience

Additional Requirements

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 $175,800 and $312,200, 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 take affirmative action to ensure 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.