Staff Machine Learning Engineer

Apple Inc

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: Pittsburgh, PA
Posted: 44 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $229k

$172k most similar roles pay here $299k

This listing doesn't post a salary. Most similar roles pay $202,800–$255,125.

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

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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, and 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 delivering high-quality software at scale to power features for news, books, and stocks content.

What does a Machine Learning Engineer earn?

Median $236000 from 319 postings across 54 companies.

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Skills

Machine Learning Python Java PyTorch TensorFlow LLMs Recommender Systems Search Ranking Named Entity Recognition text extraction Duplicate Detection Document Classification Scalable Services

What you'll do

Design and implement state-of-the-art AI/ML models to process news, stocks, and books data.
Develop high-quality datasets and design model architectures for advanced search and recommendation systems.
Prompt, train, and fine-tune machine learning models to power next-generation features.
Drive product features from initial concept and model design through to final delivery.
Lead large-scale, cross-functional software projects involving multiple technical and non-technical 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 (or equivalent industry experience).
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.
Proficiency with deep learning toolkits such as PyTorch or TensorFlow.
Experience designing user-facing machine learning features with interdisciplinary partners.
Experience with recommender systems and text-centric AI/ML including LLMs and document classification.
Experience delivering high quality software at scale and experience in technical leadership roles.

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