2 days ago
Cambridge, United KingdomSenior
Responsibilities
- Develop efficient deep learning methods for dialog systems, foundation models, and multimodal Siri capabilities.
- Work on natural language understanding, multi-turn context tracking, and speech-text integration.
- Apply model compression and algorithm optimization techniques.
- Design and implement software using parallel computing approaches.
- Support large-scale machine learning training and evaluation.
- Develop on-device intelligence and learning with strong privacy protections.
- Collaborate with engineers and scientists to ship machine learning technology across Apple platforms.
Requirements
- Demonstrated expertise in efficient deep learning with relevant conference publications or a track record applying efficient deep learning techniques to products.
- Proficiency in Python and at least one deep learning toolkit such as JAX, PyTorch, or TensorFlow.
- PhD in Mathematics, Computer Science, or another technical field, or equivalent industry experience.
- Strong expertise in efficient machine learning, model compression, and algorithm optimization techniques.
- Track record in software design and coding.
- Experience with large-scale machine learning training and evaluation.
- Experience or knowledge in on-device intelligence and learning with strong privacy protections.
- Ability to work collaboratively.
Categories
AI ResearchML Engineering
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.