Internship - Pro Apps Machine Learning Ecosystem Engineer
Role Overview
Apple's Metal Pro Apps Ecosystem team develops high-performance data-parallel algorithms and software for Apple platforms.
The intern 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
Role overview
Apple's Metal Pro Apps Ecosystem team develops high-performance data-parallel algorithms and software for Apple platforms.
The intern works with developers to integrate and optimize machine-learning workloads for Apple ANE and GPU silicon in macOS and iOS applications.
Responsibilities
- Analyze developer applications 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 developer 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 states that it is committed to fair and equal consideration of applicants and to providing reasonable accommodations.
Apple describes accessibility as a fundamental principle in its workplace, culture, benefits, and digital tools.
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