Internship - Pro Apps Machine Learning Ecosystem Engineer
Role Overview
The Metal Pro Apps Ecosystem team is part of Apple’s Graphics, Games, and Machine Learning organization.
The organization develops high-performance data-parallel algorithms, frameworks, developer tools, and GPU and display drivers for Apple hardware.
The team works with developers to integrate and optimize machine learning workloads for Apple ANE and GPU silicon in macOS and iOS applications.
Key Skills for This Role
Full Job Posting
Team and role
The Metal Pro Apps Ecosystem team is part of Apple’s Graphics, Games, and Machine Learning organization.
The organization develops high-performance data-parallel algorithms, frameworks, developer tools, and GPU and display drivers for Apple hardware.
The team works with developers to integrate and optimize machine learning workloads for Apple ANE and GPU silicon in macOS and iOS applications.
Responsibilities
- Analyze developer products and report on their use of machine learning APIs.
- Recommend optimizations, algorithms and techniques to improve applications.
- Support machine learning application development through engineering, documentation, training and relationship management.
Minimum qualifications
- Outstanding written and oral communication skills.
- Proven C++ programming and problem-solving skills.
- Good understanding of machine learning fundamentals.
- Machine learning development experience using one or more of PyTorch, TensorFlow or JAX.
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