4 days ago
Cambridge, United KingdomEntry Level
Responsibilities
- Research and develop generative speech models and techniques for steerability, expressiveness, and fine-grained control.
- Develop model training and inference systems using clean, scalable code.
- Integrate novel generative AI paradigms into on-device Siri experiences.
- Collaborate with product and research teams to improve speech and language modeling on Apple devices.
- Explore efficient model execution, quantization, and deployment for edge and on-device computing.
Requirements
- Strong theoretical background in modern deep learning architectures, sequence modeling, and generative AI frameworks.
- Knowledge of Transformers, Flow Matching, Diffusion, and VAEs.
- Strong foundations in optimization, probability theory, linear algebra, and statistical machine learning.
- Excellent programming skills in Python and PyTorch.
- Exposure to or strong interest in efficient model execution, quantization, and edge/on-device deployment constraints.
- Master’s degree or equivalent in Computer Science, Mathematics, Data Science, Physics, or a related quantitative field.
- Early-career research experience demonstrated through publications, open-source codebases, or high-impact academic or industry projects.
- Strong problem-solving abilities, curiosity, and interest in speech and language modeling.
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.