3 days ago
Responsibilities
- Develop end-to-end machine learning systems for complex physics modeling problems in Apple hardware development.
- Optimize kernels for performance and efficiency.
- Design and implement advanced agentic systems for complex tasks.
- Deploy, experiment with, and benchmark machine learning models.
- Document and share findings to influence roadmap decisions.
- Collaborate with world-class teams.
Requirements
- Strong background in machine learning algorithms and engineering.
- Proficiency in Python and C++ development.
- Strong analytical and problem-solving skills.
- Rich experience deploying, experimenting with, and benchmarking models.
- Bachelor’s, master’s, or doctoral degree in computer science, electrical engineering, or a related field.
- Preferred: proficiency in CUDA or Metal programming.
- Preferred: strong background in numerical methods and physics, including mechanical engineering, electromagnetics, or computational fluid dynamics.
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.