Senior Staff Machine Learning Engineer, Apple Search & Knowledge Platforms

Apple Inc

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$212,000–$386,300 / yr
Posted
69 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $224k
This role $299k
$153k most similar roles pay here $411k

This role pays more than 94% of similar roles. Most pay $198,000–$250,756 — the shaded band above. At the midpoint, this role pays about $299k 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 at Apple's Search & Knowledge Platforms team, you will lead a multidisciplinary team of engineers in developing cutting-edge generative AI models for summarization across various data types. Your day-to-day responsibilities include driving end-to-end research and engineering to create high-quality summaries on both device and server-side platforms, ensuring accurate and efficient model inference. You will work with state-of-the-art large language models (LLMs) to enhance the summarization capabilities of Apple’s products, focusing on improving groundedness and safety through advanced reinforcement learning techniques. Key technologies include natural language processing, machine learning frameworks like PyTorch or TensorFlow, and experience with cloud computing environments such as AWS or Azure. This role demands expertise in developing sophisticated software frameworks for seamless integration within the Apple ecosystem, aiming to deliver unparalleled user experiences at scale.

What you'll do

  • Lead the development of efficient Generative AI models for summarization across various data types.
  • Enhance summarization capabilities for world knowledge-seeking questions and real-time web page highlights.
  • Develop state-of-the-art LLM-based generative, groundedness, and safety models for accurate summaries.
  • Create sophisticated software frameworks for fast and cost-efficient on-device and server-side model inference.
  • Integrate Apple’s ecosystem with advanced LLM infrastructure to deliver high-quality user experiences.
  • Drive the product vision and strategy for delivering superior end-user summarization experiences.

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 throughout 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 engineering implementation.
  • Exceptional verbal and written communication skills for leadership roles.
  • Excellent product vision and business acumen to manage long-term strategy.

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