14 hours ago
Responsibilities
- Research and develop generative AI-based machine learning models for image enhancement, restoration, and camera applications.
- Design, train, and fine-tune diffusion models, GANs, autoregressive models, and VLMs.
- Develop next-generation camera algorithms for iPhone and iPad.
- Collaborate with GPU optimization and framework teams to integrate and deploy machine learning features into production.
- Apply computer vision principles to image and video analysis and processing.
- Present complex research and collaborate cross-functionally with technical teams.
Requirements
- Strong understanding and practical experience with generative AI architectures, including diffusion models, Generative Adversarial Networks, and autoregressive models.
- Strong programming skills in Python and deep learning frameworks such as PyTorch.
- Master’s or PhD in Computer Science, Engineering, or a related technical discipline.
- Practical experience designing, training, and fine-tuning complex generative AI architectures is preferred.
- Robust theoretical and practical foundation in computer vision, particularly image and video analysis and processing, is preferred.
- Exceptional analytical problem-solving and technical communication skills are preferred.
- Publication record in selective peer-reviewed conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICML, or ICLR is preferred.
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.
