Staff Machine Learning Engineer

Apple Inc

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$216,200–$324,800 / yr
Posted
44 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $229k
This role $270k
$168k most similar roles pay here $342k

This role pays more than 85% of similar roles. Most pay $202,800–$254,812 — the shaded band above. At the midpoint, this role pays about $270k versus about $229k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Staff Machine Learning Engineer

Staff Machine Learning Engineer - News, Books, and Stocks Team joins a distributed team of client and machine learning engineers to solve complex problems in the news, books, and stocks domains. This role involves designing and implementing state-of-the-art AI/ML to process data for recommendations, advanced search, and next-generation features like text extraction, named entity recognition, and duplicate detection. The engineer will develop datasets, design model architectures, prompt, train, or fine-tune models while leading cross-functional software projects and mentoring junior engineers. Required skills include proficiency in Python or Java, experience with deep learning toolkits such as PyTorch or TensorFlow, and expertise in recommender systems and text-centric AI/ML including LLMs and document classification. The role focuses on building scalable services to power features for news, books, and stocks content.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

What you'll do

  • Design and implement state-of-the-art AI/ML models to process news, stocks, and books data.
  • Develop datasets and design model architectures for recommendation systems and advanced search features.
  • Prompt, train, and fine-tune machine learning models to power next-generation AI features.
  • Drive product features from initial concept and model design through to final delivery.
  • Lead highly cross-functional software projects involving multi-functional teams.
  • Mentor junior engineers within the machine learning organization.
  • Build scalable services for text extraction, named entity recognition, and duplicate detection.

What we're looking for

  • MS in Machine Learning, Computer Science, or a related field is required, or equivalent industry experience.
  • A Ph.D. in Machine Learning, Computer Science, or a related field is preferred.
  • At least 5 years of experience shipping machine learning models in products.
  • Strong programming skills in Python, Java, or a related language are required.
  • Proficiency with deep learning toolkits such as PyTorch or TensorFlow is required.
  • Experience with recommender systems and text-centric AI/ML including LLMs and document classification is required.
  • Experience designing user-facing machine learning features with interdisciplinary partners is required.
  • Experience delivering high quality software at scale is required.

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