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Computational Support for Machine Learning and Transformers, Core OS
- United States
- United States
Über
The Vector and Numerics Group within the Core Operating System is tasked with designing, enhancing and improving various subsystems running on iOS, macOS, watchOs and tvOS. Most of this support is encapsulated in the Accelerate framework, a well used library serving many technologies, such as machine learning. The group is looking for an exceptional high performance programmer to complement the team and make a difference. As a member of our fast paced group, you will have the unique opportunity to delight and inspire millions of Apple's customers every day. You will work in a cross functional team which is implementing innovative and state of the art routines to support the necessary computation for such things as vision algorithms, machine learning training and inference. You will push the state of the art in low level computation and drive them towards energy efficient and high performance implementations by tightly integrating software and hardware. The successful candidate will have excellent understanding and knowledge of machine learning primitives and micro architecture of NEON on ARM or AVX on Intel CPU cores from a vector programming perspective. Team members are engaged in the design and optimization of low level computational support for all aspects of machine learning and computational primitives in service of models such as Text to Speech, Voice Isolation, Apple Music Sing to mention a few. Being able to craft the fastest and the most energy efficient routines for a particular CPU core is a plus. Low level high performance programming experience is a must for this position. Being comfortable in vector assembly and low level C is a requirement. The ideal candidate would be at ease in developing both innovative and robust CPU core level algorithms derived from a particular technology's need in a tight deadline. Minimum Qualifications
Excellent coding skills in ASM AND C. Low level algorithmic development in Machine Learning primitives, BLAS and FFT. Detailed knowledge of vector Instruction Set Architectures (ISA) of ARM and Intel. BS/MS in mathematics, computer science or computer engineering Preferred Qualifications
MS/PhD in computer science or computer engineering 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 $147,400 and $272,100, 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
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