Staff Machine Learning Engineer, News, Books, and Stocks Team

Apple Inc

Confirmed live 2 days ago Low trust

Quick summary

Work type: On-site
Location: Cary, NC
Posted: 44 days ago
Freshness: Confirmed live 2 days ago
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.

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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, News, Books, and Stocks Team

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As a Staff Machine Learning Engineer - News, Books, and Stocks Team, you will join a distributed team of client and machine learning engineers to solve complex problems in the news, books, and stocks domains. You will design and implement 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. Your daily work involves developing datasets, designing model architectures, prompting, training, and fine-tuning models while leading cross-functional software projects and mentoring junior engineers. You will utilize Python or Java along with deep learning toolkits such as PyTorch or TensorFlow to build high-quality software at scale. The role requires expertise in recommender systems and text-centric AI/ML, including LLMs and document classification, to deliver sophisticated features within the news, books, and stocks product areas.

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 datasets and design model architectures for advanced search and recommendation features.
Prompt, train, and fine-tune machine learning models to power next-generation AI features.
Drive application features from initial concept and model design through to final delivery.
Lead highly cross-functional software projects across different technical and creative domains.
Mentor junior engineers within the machine learning team.
Build scalable services for text extraction, named entity recognition, and duplicate detection.

What we're looking for

MS or PhD in Machine Learning, Computer Science, or a related field is required, or equivalent industry experience.
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, document classification, and search.
Experience delivering high quality software at scale.
Experience in a technical leadership role is preferred.

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