Computational Support for Machine Learning and Transformers, Core OS

Apple Inc

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Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$150,400–$277,600 / yr
Posted
136 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $229k
This role $214k
$135k $293k
below market most similar roles pay here above market

This role pays less than 52% of similar roles. Most pay $202,800–$254,750 — the blue band above. At the midpoint, this role pays about $214k versus about $229k for comparable roles.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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TL;DR · Computational Support for Machine Learning and Transformers, Core OS

Role Posting Log in to save

JOB TITLE: Computational Support for Machine Learning and Transformers, Core OS The Vector and Numerics Group within the Core Operating System is seeking a high performance programmer to design and improve subsystems for iOS, macOS, watchOS, and tvOS. Working in a cross functional team, you will implement state of the art routines to support vision algorithms, machine learning training, and inference. You will drive energy efficient and high performance implementations by tightly integrating software and hardware. The role requires developing low level computational support for machine learning primitives, BLAS, and FFT. You must possess excellent coding skills in ASM and C, with detailed knowledge of vector Instruction Set Architectures for ARM NEON and Intel AVX. You will craft robust CPU core level algorithms for technologies like Text to Speech and Voice Isolation.

Skills

C Assembly ARM Intel NEON AVX Machine Learning BLAS FFT Vector Programming iOS macOS watchOS tvOS Accelerate Framework

What you'll do

  • Implement state-of-the-art routines for vision algorithms and machine learning training and inference.
  • Develop energy-efficient and high-performance software by tightly integrating software and hardware.
  • Design and optimize low-level computational support for machine learning primitives and models.
  • Write high-performance code using vector assembly and low-level C.
  • Develop robust CPU core level algorithms derived from specific technology needs.
  • Optimize computational primitives for the Accelerate framework across iOS, macOS, watchOS, and tvOS.

What we're looking for

  • 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.
  • MS/PhD in computer science or computer engineering (preferred).
  • Experience in low level high performance programming.
  • Ability to craft fast and energy efficient routines for a particular CPU core (preferred).

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