Apple is seeking to drive innovation through product design, engineering, and portfolio management by leveraging Artificial Intelligence and Generative AI to create scalable, high-impact AI solutions.
Requirements
- Ph.D. or Master’s in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications
- 5+ years of experience building AI-powered systems with a strong grasp of architecture and deployment
- Experience designing and delivering NLP/LLM-based systems, with knowledge of multi-modal and agentic AI frameworks
- Proficiency with Python, ML libraries (PyTorch, TensorFlow, Transformers), and vector search engines (e.g., FAISS, Weaviate)
- Experience architecting on cloud platforms (AWS, GCP, or Azure)
- Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex), containerization (Docker, Kubernetes), and scalable APIs
- Familiarity with synthetic data generation, fine-tuning techniques, and performance optimization for large models
Responsibilities
- Design end-to-end AI solutions with clear business impact, from concept to deployment, with a strong focus on feasibility, scalability, and performance.
- Build prototypes to evaluate architecture and modeling approaches, working closely with engineering teams to transition concepts into robust systems.
- Guide architectural decisions across LLM applications, multimodal systems, and agentic frameworks.
- Assess and integrate open-source tools, orchestration frameworks, context management solutions, and vector databases.
- Collaborate with product and business teams to define KPIs and ensure alignment of AI initiatives with strategic goals.
- Stay on top of emerging trends in Generative AI, prompt engineering, and agent-based architectures.
- Define and advocate for best practices in model serving, integration patterns, and runtime efficiency-not just training ops.
Other
- Excellent communication skills with the ability to translate technical concepts into business terms
- Ability to work in a fast-paced environment and take full ownership of work from idea to execution
- Ability to collaborate with cross-functional teams, including engineers, product managers, product designers, data scientists, and business stakeholders
- Ph.D. or Master’s degree in Computer Science, AI, or related field
- 5+ years of experience in the field
