Internship - Pro Apps Machine Learning Ecosystem Engineer
Role Overview
Apple's Metal Pro Apps Ecosystem team develops high-performance data-parallel algorithms used by developers across Apple platforms.
The team works within the Graphics, Games, and Machine Learning organization and builds graphics software foundations, frameworks, developer tools, and GPU and display drivers optimized for Apple hardware.
CoreML and MPSGraph support machine-learning inference and training in applications.
Key Skills for This Role
Full Job Posting
Team overview
Apple's Metal Pro Apps Ecosystem team develops high-performance data-parallel algorithms used by developers across Apple platforms.
The team works within the Graphics, Games, and Machine Learning organization and builds graphics software foundations, frameworks, developer tools, and GPU and display drivers optimized for Apple hardware.
CoreML and MPSGraph support machine-learning inference and training in applications.
Role responsibilities
- Work with developers to integrate and optimize machine-learning workloads for Apple Neural Engine and GPU silicon in macOS and iOS applications.
- Analyze developers' products and report on their use of machine-learning APIs.
- Recommend optimizations, algorithms, and techniques to improve applications.
- Contribute to machine-learning application 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 using one or more of PyTorch, TensorFlow, or JAX.
About Apple
Apple describes inclusion, accessibility, and fair consideration of applicants as workplace commitments.
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