Staff Machine Learning Engineer

Apple Inc

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: Austin, TX
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.

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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

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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. You will develop datasets, design model architectures, prompt, train, or fine-tune models while leading cross-functional software projects and mentoring junior engineers. The role requires expertise in Python, Java, and deep learning toolkits such as PyTorch or TensorFlow. Key technical competencies include experience with recommender systems, text-centric AI/ML including LLMs and document classification, and the ability to deliver high-quality software at scale while collaborating with multi-functional teams at the intersection of technology and liberal arts.

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 for next-generation product features.
Drive application 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 community.
Deliver high-quality, scalable software solutions for millions of users.

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 is required.
Proficiency in Python, Java, or a related language is required.
Experience 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 in a technical leadership role is preferred.

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