11 hours ago
Responsibilities
- Develop intelligent architectures for self-improving systems, agentic memory, and personalized autonomous multi-agent systems.
- Build systems that learn continuously, retain and reason over persistent memory, and coordinate across agents.
- Conduct machine learning research and prototype AI systems in product or research environments.
- Translate frontier research and research innovations into scalable, practical product experiences.
- Collaborate with team members and communicate technical concepts effectively.
Requirements
- Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
- Hands-on experience with machine learning in product development, prototyping, or research environments.
- Strong programming skills and experience with machine learning development.
- Understanding of transformer-based models.
- Experience prototyping in ML or AI contexts.
- Knowledge of large language models and multimodal foundation models is preferred.
- Experience with pre-training, fine-tuning, or performance optimization is preferred.
- Familiarity with AI systems capable of reasoning and task execution is preferred.
- Ability to implement research innovations into practical applications is preferred.
- Creativity, curiosity, collaboration, and effective communication skills are preferred.
Tech Stack
iOSmacOS
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.
