Large Machine Learning Model Optimization Engineer, SIML

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$139,500–$258,100 / yr
Posted
88 days ago
Nearby
99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k
This role $199k
$125k most similar roles pay here $277k

This role pays less than 61% of similar roles. Most pay $184,787–$248,587 — the shaded band above. At the midpoint, this role pays about $199k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Large Machine Learning Model Optimization Engineer, SIML

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As a Large Machine Learning Model Optimization Engineer at Apple’s SIML team, you will join an innovative applied research and engineering group focused on developing real-time on-device technologies for Language, Computer Vision, and Machine Perception across various Apple products. Your primary responsibilities include implementing optimization techniques to enhance the performance of large language and diffusion models on devices, collaborating with cross-functional teams to integrate these models into user experiences, and driving the development of model compression and distillation strategies. You will work extensively with Python and other cutting-edge technologies such as ML compilers and high-performance kernels, requiring expertise in hardware-aware optimizations, model compression algorithms like quantization and pruning, and experience with distributed inference systems. Your contributions will significantly impact the deployment and performance of Apple’s intelligence models on a large scale.

Skills

Python model compression quantization pruning distillation diffusion models language models hardware-aware model optimizations ML compiler high performance kernel implementation distributed inference

What you'll do

  • Develop and implement optimization techniques for large language and diffusion models.
  • Lead execution of model compression, distillation, and integration into Apple Intelligence experiences.
  • Collaborate on hardware-aware optimizations to enhance model performance on devices.
  • Publish novel research at top machine learning conferences.
  • Drive the development of efficient ML model deployment across various Apple products.
  • Experience with quantization, pruning, and optimizing large diffusion or language models.

What we're looking for

  • Experienced in developing large computer vision and machine learning models.
  • Proficient in hardware-aware model optimizations for efficient deployment.
  • Familiar with model compression techniques like quantization, pruning, distillation.
  • MS or PhD in Computer Science or equivalent industry research experience.
  • Experience in leading large-scale projects and driving innovation.
  • Strong software engineering skills in Python and ML compiler knowledge.
  • Expertise in high performance kernel implementation and distributed inference.

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