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AIML - iOS Engineer, Machine Learning Platform & Infrastructure

Apple
Cupertino, CA Full Time
POSTED ON 1/8/2025
AVAILABLE BEFORE 3/8/2025

Summary

Posted:
Role Number:200585871
Do you want to make Apple products smarter for our users? The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our infrastructure powers search features across a variety of Apple products, including Apple Intelligence, Siri, Spotlight, Safari, Messages and multi-modal Lookup. As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day.

Description

As a member of the team you’ll have the opportunity to work with specialists in their field enabling software feature development delivering Apple Intelligence to customers. This position requires a proactive engineer with strong technical skills to handle responsibilities including: - Prototyping new ideas to help with initial feature definition - Implementing Swift frameworks that adhere to defined API contracts - Collaborating with our product cross-functional teams - Participating in architecture and code reviews - Building internal engineering tools as necessary

Minimum Qualifications

  • BS or MS in Computer Science or equivalent work experience
  • 3 years of experience with Swift programming, ObjC is a plus
  • Expertise in working with Concurrency primitives
  • Understanding of client/server architectures
  • Proficiency with Apple developer tools
  • Comfort with large codebases and practical solutions
  • Knowledge of software patterns that allow for testing
  • Excellent interpersonal skills; able to work independently as well as in a team

Key Qualifications

Preferred Qualifications

  • Experience with Networking stack, CDNs, Asset Delivery is a plus
  • Experience with Performance Profiling and Optimization techniques is a plus
  • Experience with telemetry, defining and measuring SLAs is a plus

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 $143,100 and $264,200, 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.

Salary : $143,100 - $264,200

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