10 hours ago
Responsibilities
- Collaborate with Apple teams on training, qualifying, deploying, and serving machine learning models.
- Design and refine systems and APIs for machine learning and generative AI.
- Adapt new model architectures to the constraints of their execution environments.
- Apply cutting-edge research to tangible production applications.
- Work with leadership across Apple to define policy.
- Build platforms used by teams across Apple to deliver intelligence capabilities to applications and services.
Requirements
- Excellent software design, problem-solving, and debugging skills.
- Background architecting and building data or machine learning platforms.
- Experience building on large language models or other generative models.
- Ability to comprehend, interpret, and apply cutting-edge research to tangible applications.
- Deep understanding of multithreaded programming and synchronization.
- Experience building production feature engineering pipelines is preferred.
- Experience with distributed data systems is preferred.
- Experience with macOS or iOS development is preferred.
Tech Stack
iOSmacOS
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.