Description

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As an intern on this team, you will:

- Collaborate with engineers to analyze and optimize inference performance for language, vision, and multimodal models.

- Develop tools and utilities that help understand bottlenecks across hardware platforms and workloads.

- Contribute to the design and evaluation of new techniques for efficient model serving and deployment.

- Learn about distributed systems, GPU computing, and large-scale ML workflows in a production environment.

- Work in an environment that values creativity, curiosity, and collaboration.

This internship will provide hands-on experience with the infrastructure behind Apple's AI technologies and offer insight into how research ideas are transformed into scalable, reliable systems.

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Minimum Qualifications

Currently a pursuing a degree in Computer Science, Machine Learning, or a related field as a final year Bachelor's Student or a Master's Student.
Solid understanding of ML fundamentals, data structures, and algorithms.
Proficiency in Python and good coding practices.
Strong collaboration, curiosity, and problem-solving skills.

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Preferred Qualifications

Experience with PyTorch or TensorFlow.
Familiarity with Transformer models or large-scale ML architectures.
Exposure to GPU programming, Docker, Kubernetes, or cloud environments.
Interest in distributed systems, inference optimization, or ML deployment.

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About the company

Apple

Company overview

Apple designs and sells consumer devices including iPhone, iPad, Mac, Apple Watch, and AirPods, and runs services such as the App Store, iCloud, Apple Music, and Apple TV+. Apple sells to consumers, businesses, schools, and developers, with a mix of hardware sales and recurring services revenue. Apple also runs a large global retail and customer support operation alongside engineering, operations, and corporate teams. Early-career hiring shows up most clearly through internships, student support programs, and entry routes in Apple Retail.

Locations and presence

Apple has a global footprint, anchored by corporate and engineering hubs such as Cupertino, plus offices and Apple Stores worldwide. Public reporting has described Apple asking corporate staff to work in the office at least three days a week, while other roles are explicitly remote, including Apple Support College Advisor roles that train and work from a home office using an iMac Apple provides.

Palpable Score

75.8

/ 100

Apple offers multiple real entry points for students and graduates, spanning internships, retail roles that accept applicants without prior tech experience, and the Apple Support College Program. The scores are held back by limited public outcomes reporting: Apple does not publish early-career conversion, promotion, or retention metrics, so long-term results are harder to verify.

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