1 day ago
Responsibilities
- Design and develop AI and machine learning models for multimodal human sensing and computer vision.
- Build robust cross-domain identity recognition systems and representations of visual human traits.
- Train, fine-tune, and evaluate deep learning models for vision tasks.
- Research and develop foundation models for facial and full-body perception.
- Support efficient real-time and on-device visual human sensing for Apple experiences.
Requirements
- Master's or Ph.D. in Computer Science, Computer Engineering, or a related field, or equivalent professional experience in computer vision and machine learning research and development.
- Proven track record training, fine-tuning, and evaluating deep learning models for vision tasks using modern machine learning architectures.
- Research and innovation background demonstrated through top-tier publications, patents, or impactful software development.
- Proficiency in Python and PyTorch or equivalent deep learning frameworks.
- Preferred: expert-level knowledge of face recognition, facial analysis, or biometric systems.
- Preferred: hands-on experience training and scaling multimodal large language models or large-scale vision-language models.
- Preferred: experience with on-device machine learning, model optimization such as knowledge distillation, quantization, or pruning, or production-grade machine learning pipelines.
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.