Senior Staff Machine Learning Engineer, Apple Search & Knowledge Platforms

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$201,300–$367,400 / yr
Posted
69 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $224k
This role $284k
$156k most similar roles pay here $390k

This role pays more than 87% of similar roles. Most pay $198,000–$250,756 — the shaded band above. At the midpoint, this role pays about $284k versus about $224k for comparable roles.

Based on 239 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 · Senior Staff Machine Learning Engineer, Apple Search & Knowledge Platforms

As a Senior Staff Machine Learning Engineer on Apple’s Search & Knowledge Platforms team, you will lead a multidisciplinary team of engineers in developing state-of-the-art generative AI models for summarization across various data types. Your daily responsibilities include driving end-to-end research and engineering to create high-quality summaries and user experiences using both on-device and server-based large language model frameworks. You will work with cutting-edge technologies such as natural language processing, reinforcement learning, and reward modeling to enhance the accuracy, safety, and efficiency of summarization models for Siri, Safari, and other Apple services. This role requires expertise in machine learning, NLP, and RAG, along with strong leadership skills to manage long-term strategy while delivering short-term results.

What you'll do

  • Lead the development of high-quality summarization models for personal content across Apple apps.
  • Drive the creation of advanced generative AI models for accurate, grounded summaries on Apple’s Private Cloud Compute servers.
  • Develop software frameworks for efficient LLM-based model inference both on-device and server-side.
  • Integrate Apple's ecosystem with its LLM infrastructure to enhance user experiences.
  • Lead engineering efforts to improve the quality and safety of summarization models using advanced RL methods.
  • Execute product vision and strategy to deliver top-tier end-user experiences in AI, search, and knowledge platforms.

What we're looking for

  • 8+ years of experience leading ML projects in NLP and generative AI models
  • Proven track record of delivering technology/products through the full ML lifecycle
  • MS or Ph.D. in Computer Science, Machine Learning, information retrieval, data mining, or related field
  • Strong background in LLM post-training, RLHF/RLAIF, reward model optimization, and hallucination reduction methods
  • Exceptional communication skills for leading engineering teams and product vision development
  • Ability to manage long-term strategy while delivering short-term project goals effectively

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