Apple is looking to design and develop the next generation of AIML-powered professional training applications, employing ground breaking large language models (LLMs), visual intelligence models, voice interfaces, and other emerging technologies. This includes architecting scalable, secure, and high-performance systems that deliver personalized, adaptive learning experiences for global teams.
Requirements
- Strong experience with machine learning integration, particularly LLMs, computer vision, and voice technologies.
- Ability to design and build AIML-driven training applications, incorporating multi-modal inputs such as text, image, and voice.
- Proficiency in cloud-based architectures (e.g., AWS, GCP, Azure) for deploying scalable AIML systems.
- Familiarity with MLOps standard methodologies, including model training, deployment, and monitoring.
- Experience with modern front-end (JavaScript/TypeScript, React, or similar frameworks) and back-end (Node.js, Python, Java, or similar) frameworks to support interactive and responsive AIML applications.
- Deep understanding of data pipelines, data privacy, and security compliance for handling sensitive training data.
- Experience with RAG pipelines and prompt engineering
Responsibilities
- Developing high quality software systems according to the specifications of product and engineering leadership
- Designing, developing, and maintaining applications across the frontend and backend
- Implementing generative AI capabilities into content tools
- Optimizing performance, scalability, and security of full stack applications
- Working with multi-functional teams to integrate with multiple enterprise systems
- Triaging issues and using debugging tools and skills to identify solutions
- Maintaining expertise in full stack development and generative AI
Other
- 8+ years of professional software engineering experience
- Solid coding fundamentals and a thirst to improve and challenge yourself
- Excellent communication and soft skills
- Ability to work on a highly collaborative cross-functional team
- Passion for high quality user experiences and an unmatched attention to detail
