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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