Internship - Machine Learning and AI - Foundation Model Infrastructure at Apple

Paris, Ile-de-France, France -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

0.0

Posted On

06 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI, Python, Collaboration, Problem Solving, GPU Computing, Distributed Systems, Model Serving, Inference Optimization, Docker, Kubernetes, Cloud Environments, Transformer Models, Large-Scale ML Architectures, Curiosity, Creativity

Industry

Computers and Electronics Manufacturing

Description

Application Deadline - 5th December 2025 Are you interested in solving challenging technical problems and contributing to systems that support large-scale machine learning models? The ML Infrastructure team, part of the Machine Learning Platform Technologies organization at Apple, builds frameworks, services, and tools that power Apple's foundation models on servers. Our infrastructure supports a wide range of Apple products and services, including Search, Music, TV, App Store, Messages, Photos, Safari, Siri, and more. It handles millions of requests each day with a focus on efficiency, scalability, and reliability. You will have the opportunity to work on technologies that make large language, vision, and speech models more efficient and deployable at scale. You'll collaborate with experienced engineers, learn about modern ML infrastructure, and help improve the systems that bring intelligent features to Apple products used by people around the world. DESCRIPTION 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. MINIMUM QUALIFICATIONS Currently pursuing a Master's degree in Computer Science, Machine Learning, or a related field. Solid understanding of ML fundamentals, data structures, and algorithms. Proficiency in Python and good coding practices. Strong collaboration, curiosity, and problem-solving skills. 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.

Responsibilities

As an intern, you will collaborate with engineers to analyze and optimize inference performance for various models. You will also develop tools to understand bottlenecks and contribute to the design of efficient model serving techniques.